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Kemquiros/taxi_q-learning.ipynb

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OpenAI-Taxi_v3-Q-Learning.ipynb
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taxi_q-learning.ipynb
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "taxi_q-learning.ipynb",
"provenance": [],
"authorship_tag": "ABX9TyONGeo/YQgSgsvPE08nY+2A",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/Kemquiros/8f4a3e147342d911e1b07e267d66c227/taxi_q-learning.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "code",
"metadata": {
"id": "CUdfXOHCQnC9",
"colab_type": "code",
"colab": {}
},
"source": [
"# John Tapias Zarrazola\n",
"# Julio/2020\n",
"\n",
"# Ambiente Taxi v3.0 Gym OpenAI\n",
"# Algoritmo Q-Learning\n",
"\n",
"# Descripción:\n",
"# Hay cuatro locaciones desginadas en este mundo tipo grilla indicado por R (red), G (green), Y (Yellow) y B (Blue).\n",
"# El episodio inicia con el taxi y el pasajero en casillas aleatorias.\n",
"# El taxi debe conducir hasta la ubicación del pasajero, subir el pasajero al vehículo, conducir hasta el lugar de destino y bajar al pasajero del vehículo.\n",
"\n",
"# Observaciones:\n",
"# El ambiente cuenta con 500 estados discretos\n",
"# 25 posiciones posibles del taxi\n",
"# 5 posiciones posibles del pasajero (incluyendo cuando el pasajero está en el taxi)\n",
"# 4 destinos posibles\n",
"\n",
"# Ubicación del pasajero:\n",
"# - 0: R(ed)\n",
"# - 1: G(reen)\n",
"# - 2: Y(ellow)\n",
"# - 3: B(lue)\n",
"# - 4: En el taxi\n",
"\n",
"# Destinos:\n",
"# - 0: R(ed)\n",
"# - 1: G(reen)\n",
"# - 2: Y(ellow)\n",
"# - 3: B(lue)\n",
"\n",
"# Acciones:\n",
"# There are 6 discrete deterministic actions:\n",
"# - 0: Ir al sur\n",
"# - 1: Ir al norte\n",
"# - 2: Ir al oriente \n",
"# - 3: Ir al occidente \n",
"# - 4: Subir pasajero\n",
"# - 5: Bajar pasajero\n",
"\n",
"# Rcompensa: \n",
"# Cada paso genera una recompensa de -1,\n",
"# Cuando baja al pasajero en e destino +20,\n",
"# Subir o bajar al pasajero cuando no es el momento -10.\n",
"\n",
"# Mostrar Escenario:\n",
"# - azul: passenger\n",
"# - magenta: destino\n",
"# - amarillo: taxi vacío\n",
"# - verde: taxi ocupado\n",
"# - Letras (R, G, Y y B): ubicaciones del pasajero y destino\n",
"\n",
"# El espacio del estado está representado:\n",
"# (taxi_fila, taxi_columna, ubicacion_pasajero, destino)\n",
"\n"
],
"execution_count": 1,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "PWi8cJXAQ3yI",
"colab_type": "code",
"colab": {}
},
"source": [
"# Importar librerias\n",
"import gym\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
],
"execution_count": 2,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "5XvTODPcQ8uB",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 168
},
"outputId": "e9257ebe-ad37-4293-d614-562063b38c86"
},
"source": [
"# Establecer el ambiente Taxi-v3\n",
"env = gym.make(\"Taxi-v3\")\n",
"estado = env.reset()\n",
"# Ejemplo estado\n",
"print('Estado # ', estado)\n",
"# Ejemplo del escenario\n",
"env.render()"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"Estado # 93\n",
"+---------+\n",
"|R: | : :\u001b[35m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
"\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "VDk2zbWfRIJz",
"colab_type": "code",
"colab": {}
},
"source": [
"#Inicializacion de variables\n",
"def iniciar_parametros():\n",
" # Matriz Q\n",
" Q = np.zeros([env.observation_space.n, env.action_space.n])\n",
" parametros = {}\n",
" parametros['alpha'] = 0.1\n",
" parametros['gamma'] = 0.1\n",
" parametros['max_episodios'] = 1500\n",
" parametros['modulo_mostrar'] = 50\n",
" # Vector para almacenar las recompensas acumuladas\n",
" R = np.full((parametros['max_episodios']+1), np.NINF)\n",
" return parametros, Q, R\n"
],
"execution_count": 4,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "iwdR8rhuRdYs",
"colab_type": "code",
"colab": {}
},
"source": [
"def paso(estado, accion, p): \n",
" estado_nuevo, recompensa, es_fin, info = env.step(accion) \n",
" Q[estado, accion] += p['alpha'] * (recompensa + np.max(Q[estado_nuevo]) - Q[estado,accion]) \n",
" return es_fin, recompensa, estado_nuevo\n",
"def mostrar_escenario(episodio, paso, recompensa, recompensa_acumulada, p):\n",
" if episodio % p['modulo_mostrar'] == 0:\n",
" print('Episodio #', episodio,'\\tPaso: ', paso, '\\tRecompensa: ', recompensa, '\\tRecompensa Acumulada: ', recompensa_acumulada)\n",
" print(env.render())\n",
"def mostrar_resultado(episodio, recompensa_acumulada, p):\n",
" if episodio % p['modulo_mostrar'] == 0:\n",
" print('Episodio #', n_episodio,'\\tRecompensa: ', recompensa_acumulada)\n",
"def media_movil(vector, n=3) :\n",
" vector = np.cumsum(vector, dtype=float)\n",
" vector[n:] = vector[n:] - vector[:-n]\n",
" return vector[n - 1:] / n"
],
"execution_count": 5,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "Q35Vt0YVSmTl",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000
},
"outputId": "7493010f-2855-4f5d-d84a-6a3fb5fe7284"
},
"source": [
"p, Q, R = iniciar_parametros()\n",
"for n_episodio in range (0, p['max_episodios']+1):\n",
" finaliza = False\n",
" recompensa = 0\n",
" recompensa_acumulada = 0\n",
" n_paso = 0\n",
" estado = env.reset()\n",
" while not finaliza:\n",
" n_paso += 1\n",
" # Muestra el escenario cada N episodios\n",
" mostrar_escenario(n_episodio, n_paso, recompensa, recompensa_acumulada, p)\n",
" # Acción codiciosa\n",
" accion = np.argmax(Q[estado])\n",
" # Realiza la acción en el estado actual\n",
" # Cambia de estado y recibe recompensa\n",
" finaliza, recompensa, estado = paso(estado, accion, p) \n",
" recompensa_acumulada += recompensa\n",
" # Almacena la recompensa del anterior episodio\n",
" R[n_episodio] = recompensa_acumulada\n",
" mostrar_resultado(n_episodio, recompensa_acumulada, p)"
],
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": [
"\u001b[1;30;43mSe han truncado las últimas 5000 líneas del flujo de salida.\u001b[0m\n",
"Episodio # 600 \tPaso: 58 \tRecompensa: -1 \tRecompensa Acumulada: -147\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 600 \tPaso: 59 \tRecompensa: -1 \tRecompensa Acumulada: -148\n",
"+---------+\n",
"|R: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 600 \tPaso: 60 \tRecompensa: -1 \tRecompensa Acumulada: -149\n",
"+---------+\n",
"|R: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 600 \tPaso: 61 \tRecompensa: -1 \tRecompensa Acumulada: -150\n",
"+---------+\n",
"|R: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 600 \tPaso: 62 \tRecompensa: -1 \tRecompensa Acumulada: -151\n",
"+---------+\n",
"|R: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 600 \tPaso: 63 \tRecompensa: -1 \tRecompensa Acumulada: -152\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : :\u001b[42m_\u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 600 \tPaso: 64 \tRecompensa: -1 \tRecompensa Acumulada: -153\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 600 \tPaso: 65 \tRecompensa: -1 \tRecompensa Acumulada: -154\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 600 \tPaso: 66 \tRecompensa: -1 \tRecompensa Acumulada: -155\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 600 \tPaso: 67 \tRecompensa: -1 \tRecompensa Acumulada: -156\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 600 \tPaso: 68 \tRecompensa: -1 \tRecompensa Acumulada: -157\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 600 \tPaso: 69 \tRecompensa: -1 \tRecompensa Acumulada: -158\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 600 \tPaso: 70 \tRecompensa: -1 \tRecompensa Acumulada: -159\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[42mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 600 \tRecompensa: -139\n",
"Episodio # 650 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 650 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 15 \tRecompensa: -1 \tRecompensa Acumulada: -14\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 16 \tRecompensa: -1 \tRecompensa Acumulada: -15\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 17 \tRecompensa: -1 \tRecompensa Acumulada: -16\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 18 \tRecompensa: -1 \tRecompensa Acumulada: -17\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 19 \tRecompensa: -1 \tRecompensa Acumulada: -18\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 20 \tRecompensa: -1 \tRecompensa Acumulada: -19\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 21 \tRecompensa: -1 \tRecompensa Acumulada: -20\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 22 \tRecompensa: -1 \tRecompensa Acumulada: -21\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 23 \tRecompensa: -1 \tRecompensa Acumulada: -22\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 24 \tRecompensa: -1 \tRecompensa Acumulada: -23\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 25 \tRecompensa: -1 \tRecompensa Acumulada: -24\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 26 \tRecompensa: -1 \tRecompensa Acumulada: -25\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 27 \tRecompensa: -1 \tRecompensa Acumulada: -26\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 28 \tRecompensa: -1 \tRecompensa Acumulada: -27\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 29 \tRecompensa: -1 \tRecompensa Acumulada: -28\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 30 \tRecompensa: -10 \tRecompensa Acumulada: -38\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 650 \tPaso: 31 \tRecompensa: -10 \tRecompensa Acumulada: -48\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 650 \tPaso: 32 \tRecompensa: -1 \tRecompensa Acumulada: -49\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 33 \tRecompensa: -1 \tRecompensa Acumulada: -50\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 34 \tRecompensa: -1 \tRecompensa Acumulada: -51\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 35 \tRecompensa: -1 \tRecompensa Acumulada: -52\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 36 \tRecompensa: -1 \tRecompensa Acumulada: -53\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 37 \tRecompensa: -1 \tRecompensa Acumulada: -54\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 38 \tRecompensa: -1 \tRecompensa Acumulada: -55\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 39 \tRecompensa: -1 \tRecompensa Acumulada: -56\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 40 \tRecompensa: -1 \tRecompensa Acumulada: -57\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 41 \tRecompensa: -1 \tRecompensa Acumulada: -58\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 42 \tRecompensa: -1 \tRecompensa Acumulada: -59\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 43 \tRecompensa: -1 \tRecompensa Acumulada: -60\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 44 \tRecompensa: -1 \tRecompensa Acumulada: -61\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 45 \tRecompensa: -1 \tRecompensa Acumulada: -62\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 46 \tRecompensa: -1 \tRecompensa Acumulada: -63\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 47 \tRecompensa: -1 \tRecompensa Acumulada: -64\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 48 \tRecompensa: -1 \tRecompensa Acumulada: -65\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 49 \tRecompensa: -1 \tRecompensa Acumulada: -66\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 50 \tRecompensa: -1 \tRecompensa Acumulada: -67\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 51 \tRecompensa: -1 \tRecompensa Acumulada: -68\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 52 \tRecompensa: -1 \tRecompensa Acumulada: -69\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 53 \tRecompensa: -1 \tRecompensa Acumulada: -70\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 54 \tRecompensa: -1 \tRecompensa Acumulada: -71\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 55 \tRecompensa: -1 \tRecompensa Acumulada: -72\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 56 \tRecompensa: -1 \tRecompensa Acumulada: -73\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 57 \tRecompensa: -1 \tRecompensa Acumulada: -74\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 58 \tRecompensa: -1 \tRecompensa Acumulada: -75\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 59 \tRecompensa: -1 \tRecompensa Acumulada: -76\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 60 \tRecompensa: -1 \tRecompensa Acumulada: -77\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 61 \tRecompensa: -1 \tRecompensa Acumulada: -78\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 62 \tRecompensa: -1 \tRecompensa Acumulada: -79\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 63 \tRecompensa: -1 \tRecompensa Acumulada: -80\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 64 \tRecompensa: -1 \tRecompensa Acumulada: -81\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 65 \tRecompensa: -1 \tRecompensa Acumulada: -82\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 66 \tRecompensa: -1 \tRecompensa Acumulada: -83\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 67 \tRecompensa: -1 \tRecompensa Acumulada: -84\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 68 \tRecompensa: -1 \tRecompensa Acumulada: -85\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 69 \tRecompensa: -1 \tRecompensa Acumulada: -86\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 70 \tRecompensa: -1 \tRecompensa Acumulada: -87\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : |\u001b[43m \u001b[0m: : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 71 \tRecompensa: -1 \tRecompensa Acumulada: -88\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : |\u001b[43m \u001b[0m: : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 72 \tRecompensa: -1 \tRecompensa Acumulada: -89\n",
"+---------+\n",
"|R: |\u001b[43m \u001b[0m: :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 73 \tRecompensa: -1 \tRecompensa Acumulada: -90\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : |\u001b[43m \u001b[0m: : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 74 \tRecompensa: -1 \tRecompensa Acumulada: -91\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 75 \tRecompensa: -1 \tRecompensa Acumulada: -92\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 76 \tRecompensa: -1 \tRecompensa Acumulada: -93\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 77 \tRecompensa: -1 \tRecompensa Acumulada: -94\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 78 \tRecompensa: -1 \tRecompensa Acumulada: -95\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 79 \tRecompensa: -1 \tRecompensa Acumulada: -96\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 80 \tRecompensa: -1 \tRecompensa Acumulada: -97\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 81 \tRecompensa: -1 \tRecompensa Acumulada: -98\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 82 \tRecompensa: -1 \tRecompensa Acumulada: -99\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 83 \tRecompensa: -1 \tRecompensa Acumulada: -100\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 84 \tRecompensa: -1 \tRecompensa Acumulada: -101\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 85 \tRecompensa: -1 \tRecompensa Acumulada: -102\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 86 \tRecompensa: -1 \tRecompensa Acumulada: -103\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 87 \tRecompensa: -1 \tRecompensa Acumulada: -104\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 88 \tRecompensa: -1 \tRecompensa Acumulada: -105\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 89 \tRecompensa: -1 \tRecompensa Acumulada: -106\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 90 \tRecompensa: -1 \tRecompensa Acumulada: -107\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 91 \tRecompensa: -1 \tRecompensa Acumulada: -108\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 92 \tRecompensa: -1 \tRecompensa Acumulada: -109\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 93 \tRecompensa: -1 \tRecompensa Acumulada: -110\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 94 \tRecompensa: -1 \tRecompensa Acumulada: -111\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 95 \tRecompensa: -1 \tRecompensa Acumulada: -112\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 96 \tRecompensa: -1 \tRecompensa Acumulada: -113\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 97 \tRecompensa: -1 \tRecompensa Acumulada: -114\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 98 \tRecompensa: -1 \tRecompensa Acumulada: -115\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 99 \tRecompensa: -1 \tRecompensa Acumulada: -116\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 100 \tRecompensa: -1 \tRecompensa Acumulada: -117\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 101 \tRecompensa: -1 \tRecompensa Acumulada: -118\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 102 \tRecompensa: -1 \tRecompensa Acumulada: -119\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 103 \tRecompensa: -1 \tRecompensa Acumulada: -120\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 104 \tRecompensa: -1 \tRecompensa Acumulada: -121\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 105 \tRecompensa: -1 \tRecompensa Acumulada: -122\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 106 \tRecompensa: -1 \tRecompensa Acumulada: -123\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 107 \tRecompensa: -10 \tRecompensa Acumulada: -133\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 650 \tPaso: 108 \tRecompensa: -10 \tRecompensa Acumulada: -143\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 650 \tPaso: 109 \tRecompensa: -1 \tRecompensa Acumulada: -144\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 110 \tRecompensa: -1 \tRecompensa Acumulada: -145\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 111 \tRecompensa: -1 \tRecompensa Acumulada: -146\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 112 \tRecompensa: -1 \tRecompensa Acumulada: -147\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 113 \tRecompensa: -10 \tRecompensa Acumulada: -157\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 650 \tPaso: 114 \tRecompensa: -10 \tRecompensa Acumulada: -167\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 650 \tPaso: 115 \tRecompensa: -1 \tRecompensa Acumulada: -168\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 116 \tRecompensa: -1 \tRecompensa Acumulada: -169\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 117 \tRecompensa: -1 \tRecompensa Acumulada: -170\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 118 \tRecompensa: -1 \tRecompensa Acumulada: -171\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 119 \tRecompensa: -1 \tRecompensa Acumulada: -172\n",
"+---------+\n",
"|\u001b[43mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 120 \tRecompensa: -1 \tRecompensa Acumulada: -173\n",
"+---------+\n",
"|R:\u001b[43m \u001b[0m| : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 121 \tRecompensa: -1 \tRecompensa Acumulada: -174\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 122 \tRecompensa: -1 \tRecompensa Acumulada: -175\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 123 \tRecompensa: -1 \tRecompensa Acumulada: -176\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 124 \tRecompensa: -1 \tRecompensa Acumulada: -177\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 125 \tRecompensa: -1 \tRecompensa Acumulada: -178\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 126 \tRecompensa: -1 \tRecompensa Acumulada: -179\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 127 \tRecompensa: -10 \tRecompensa Acumulada: -189\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 650 \tPaso: 128 \tRecompensa: -10 \tRecompensa Acumulada: -199\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 650 \tPaso: 129 \tRecompensa: -1 \tRecompensa Acumulada: -200\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 130 \tRecompensa: -1 \tRecompensa Acumulada: -201\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 131 \tRecompensa: -1 \tRecompensa Acumulada: -202\n",
"+---------+\n",
"|R: | :\u001b[43m \u001b[0m:\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 132 \tRecompensa: -10 \tRecompensa Acumulada: -212\n",
"+---------+\n",
"|R: | :\u001b[43m \u001b[0m:\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 650 \tPaso: 133 \tRecompensa: -10 \tRecompensa Acumulada: -222\n",
"+---------+\n",
"|R: | :\u001b[43m \u001b[0m:\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 650 \tPaso: 134 \tRecompensa: -1 \tRecompensa Acumulada: -223\n",
"+---------+\n",
"|R: | :\u001b[43m \u001b[0m:\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 135 \tRecompensa: -1 \tRecompensa Acumulada: -224\n",
"+---------+\n",
"|R: |\u001b[43m \u001b[0m: :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 136 \tRecompensa: -1 \tRecompensa Acumulada: -225\n",
"+---------+\n",
"|R: |\u001b[43m \u001b[0m: :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 650 \tPaso: 137 \tRecompensa: -1 \tRecompensa Acumulada: -226\n",
"+---------+\n",
"|R: |\u001b[43m \u001b[0m: :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 138 \tRecompensa: -1 \tRecompensa Acumulada: -227\n",
"+---------+\n",
"|R: | :\u001b[43m \u001b[0m:\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 139 \tRecompensa: -1 \tRecompensa Acumulada: -228\n",
"+---------+\n",
"|R: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 650 \tPaso: 140 \tRecompensa: -1 \tRecompensa Acumulada: -229\n",
"+---------+\n",
"|R: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 650 \tPaso: 141 \tRecompensa: -1 \tRecompensa Acumulada: -230\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : :\u001b[42m_\u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 142 \tRecompensa: -1 \tRecompensa Acumulada: -231\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 143 \tRecompensa: -1 \tRecompensa Acumulada: -232\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 144 \tRecompensa: -1 \tRecompensa Acumulada: -233\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 145 \tRecompensa: -1 \tRecompensa Acumulada: -234\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 146 \tRecompensa: -1 \tRecompensa Acumulada: -235\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 650 \tPaso: 147 \tRecompensa: -1 \tRecompensa Acumulada: -236\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tPaso: 148 \tRecompensa: -1 \tRecompensa Acumulada: -237\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[42mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 650 \tRecompensa: -217\n",
"Episodio # 700 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B:\u001b[43m \u001b[0m|\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 700 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B:\u001b[43m \u001b[0m|\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B:\u001b[43m \u001b[0m|\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 700 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[43mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 700 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 700 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[43mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[43mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[43mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 700 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B:\u001b[43m \u001b[0m|\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 700 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 700 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 700 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 700 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 700 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 15 \tRecompensa: -1 \tRecompensa Acumulada: -14\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 700 \tPaso: 16 \tRecompensa: -10 \tRecompensa Acumulada: -24\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 700 \tPaso: 17 \tRecompensa: -10 \tRecompensa Acumulada: -34\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 700 \tPaso: 18 \tRecompensa: -1 \tRecompensa Acumulada: -35\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B:\u001b[43m \u001b[0m|\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 19 \tRecompensa: -1 \tRecompensa Acumulada: -36\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B:\u001b[43m \u001b[0m|\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 20 \tRecompensa: -1 \tRecompensa Acumulada: -37\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B:\u001b[43m \u001b[0m|\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 700 \tPaso: 21 \tRecompensa: -1 \tRecompensa Acumulada: -38\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 700 \tPaso: 22 \tRecompensa: -1 \tRecompensa Acumulada: -39\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 700 \tPaso: 23 \tRecompensa: -1 \tRecompensa Acumulada: -40\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 700 \tPaso: 24 \tRecompensa: -10 \tRecompensa Acumulada: -50\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 700 \tPaso: 25 \tRecompensa: -10 \tRecompensa Acumulada: -60\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 700 \tPaso: 26 \tRecompensa: -1 \tRecompensa Acumulada: -61\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 700 \tPaso: 27 \tRecompensa: -1 \tRecompensa Acumulada: -62\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 700 \tPaso: 28 \tRecompensa: -1 \tRecompensa Acumulada: -63\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 700 \tPaso: 29 \tRecompensa: -10 \tRecompensa Acumulada: -73\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 700 \tPaso: 30 \tRecompensa: -10 \tRecompensa Acumulada: -83\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 700 \tPaso: 31 \tRecompensa: -1 \tRecompensa Acumulada: -84\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 700 \tPaso: 32 \tRecompensa: -1 \tRecompensa Acumulada: -85\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 33 \tRecompensa: -1 \tRecompensa Acumulada: -86\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 700 \tPaso: 34 \tRecompensa: -1 \tRecompensa Acumulada: -87\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 700 \tPaso: 35 \tRecompensa: -1 \tRecompensa Acumulada: -88\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 700 \tPaso: 36 \tRecompensa: -1 \tRecompensa Acumulada: -89\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 700 \tPaso: 37 \tRecompensa: -1 \tRecompensa Acumulada: -90\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 700 \tPaso: 38 \tRecompensa: -1 \tRecompensa Acumulada: -91\n",
"+---------+\n",
"|\u001b[34;1m\u001b[43mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 700 \tPaso: 39 \tRecompensa: -1 \tRecompensa Acumulada: -92\n",
"+---------+\n",
"|\u001b[42mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 700 \tPaso: 40 \tRecompensa: -1 \tRecompensa Acumulada: -93\n",
"+---------+\n",
"|R: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 41 \tRecompensa: -1 \tRecompensa Acumulada: -94\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 42 \tRecompensa: -1 \tRecompensa Acumulada: -95\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tPaso: 43 \tRecompensa: -1 \tRecompensa Acumulada: -96\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[42mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 700 \tRecompensa: -76\n",
"Episodio # 750 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 750 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 750 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 750 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[43mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 750 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[43m \u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 750 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[43m \u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 750 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: |\u001b[43m \u001b[0m: :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 750 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: |\u001b[43m \u001b[0m: :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 750 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: |\u001b[43m \u001b[0m: :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 750 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : |\u001b[43m \u001b[0m: : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 750 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 750 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : |\u001b[43m \u001b[0m: : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 750 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : |\u001b[43m \u001b[0m: : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 750 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: |\u001b[43m \u001b[0m: :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 750 \tPaso: 15 \tRecompensa: -1 \tRecompensa Acumulada: -14\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[43m \u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 750 \tPaso: 16 \tRecompensa: -1 \tRecompensa Acumulada: -15\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[43mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 750 \tPaso: 17 \tRecompensa: -1 \tRecompensa Acumulada: -16\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[43mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 750 \tPaso: 18 \tRecompensa: -1 \tRecompensa Acumulada: -17\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[43mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 750 \tPaso: 19 \tRecompensa: -1 \tRecompensa Acumulada: -18\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 750 \tPaso: 20 \tRecompensa: -1 \tRecompensa Acumulada: -19\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 750 \tPaso: 21 \tRecompensa: -1 \tRecompensa Acumulada: -20\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 750 \tPaso: 22 \tRecompensa: -10 \tRecompensa Acumulada: -30\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 750 \tPaso: 23 \tRecompensa: -10 \tRecompensa Acumulada: -40\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 750 \tPaso: 24 \tRecompensa: -1 \tRecompensa Acumulada: -41\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 750 \tPaso: 25 \tRecompensa: -1 \tRecompensa Acumulada: -42\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|Y| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 750 \tPaso: 26 \tRecompensa: -1 \tRecompensa Acumulada: -43\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[34;1m\u001b[43mB\u001b[0m\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 750 \tPaso: 27 \tRecompensa: -1 \tRecompensa Acumulada: -44\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[42mB\u001b[0m: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 750 \tPaso: 28 \tRecompensa: -1 \tRecompensa Acumulada: -45\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[42m_\u001b[0m: |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 750 \tPaso: 29 \tRecompensa: -1 \tRecompensa Acumulada: -46\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 750 \tPaso: 30 \tRecompensa: -1 \tRecompensa Acumulada: -47\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 750 \tPaso: 31 \tRecompensa: -1 \tRecompensa Acumulada: -48\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 750 \tPaso: 32 \tRecompensa: -1 \tRecompensa Acumulada: -49\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 750 \tPaso: 33 \tRecompensa: -1 \tRecompensa Acumulada: -50\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 750 \tPaso: 34 \tRecompensa: -1 \tRecompensa Acumulada: -51\n",
"+---------+\n",
"|\u001b[35m\u001b[42mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 750 \tRecompensa: -31\n",
"Episodio # 800 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| :\u001b[43m \u001b[0m|\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 800 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 800 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 800 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 800 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 800 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 800 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 800 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[34;1m\u001b[43mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 800 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|\u001b[42mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 800 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|R: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 800 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|R: | : :G|\n",
"| :\u001b[42m_\u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 800 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 800 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 800 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 800 \tPaso: 15 \tRecompensa: -1 \tRecompensa Acumulada: -14\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[42m_\u001b[0m: |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 800 \tPaso: 16 \tRecompensa: -1 \tRecompensa Acumulada: -15\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35m\u001b[42mB\u001b[0m\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 800 \tRecompensa: 5\n",
"Episodio # 850 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : |\u001b[43m \u001b[0m: : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 850 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 850 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 850 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 850 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 850 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[42m_\u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 850 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 850 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 850 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 850 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 850 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 850 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 850 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|\u001b[35m\u001b[42mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 850 \tRecompensa: 8\n",
"Episodio # 900 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 900 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 900 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 900 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 900 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 900 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 900 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[34;1m\u001b[43mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 900 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[42mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 900 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|R: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 900 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 900 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 900 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[42mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 900 \tRecompensa: 9\n",
"Episodio # 950 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: |\u001b[43m \u001b[0m: :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 950 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[43m \u001b[0m:\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 950 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 950 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 950 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[42m_\u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 950 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 950 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 950 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 950 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 950 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 950 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 950 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|\u001b[35m\u001b[42mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 950 \tRecompensa: 9\n",
"Episodio # 1000 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1000 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1000 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1000 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1000 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[42m_\u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1000 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1000 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1000 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1000 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1000 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1000 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1000 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|\u001b[35m\u001b[42mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1000 \tRecompensa: 9\n",
"Episodio # 1050 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|R: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1050 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|R: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1050 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : :\u001b[42m_\u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1050 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1050 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1050 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1050 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1050 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1050 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1050 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[42mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1050 \tRecompensa: 11\n",
"Episodio # 1100 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1100 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 5 \tRecompensa: -10 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1100 \tPaso: 6 \tRecompensa: -10 \tRecompensa Acumulada: -23\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 1100 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -24\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -25\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -26\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -27\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -28\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -29\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -30\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -31\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 15 \tRecompensa: -10 \tRecompensa Acumulada: -41\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1100 \tPaso: 16 \tRecompensa: -10 \tRecompensa Acumulada: -51\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (Dropoff)\n",
"None\n",
"Episodio # 1100 \tPaso: 17 \tRecompensa: -1 \tRecompensa Acumulada: -52\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 18 \tRecompensa: -1 \tRecompensa Acumulada: -53\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 19 \tRecompensa: -1 \tRecompensa Acumulada: -54\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 20 \tRecompensa: -1 \tRecompensa Acumulada: -55\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 21 \tRecompensa: -1 \tRecompensa Acumulada: -56\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 22 \tRecompensa: -1 \tRecompensa Acumulada: -57\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 23 \tRecompensa: -1 \tRecompensa Acumulada: -58\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 24 \tRecompensa: -1 \tRecompensa Acumulada: -59\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[43mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 25 \tRecompensa: -1 \tRecompensa Acumulada: -60\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 26 \tRecompensa: -1 \tRecompensa Acumulada: -61\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 27 \tRecompensa: -1 \tRecompensa Acumulada: -62\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 28 \tRecompensa: -1 \tRecompensa Acumulada: -63\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 29 \tRecompensa: -1 \tRecompensa Acumulada: -64\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 30 \tRecompensa: -1 \tRecompensa Acumulada: -65\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 31 \tRecompensa: -1 \tRecompensa Acumulada: -66\n",
"+---------+\n",
"|\u001b[35m\u001b[43mR\u001b[0m\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 32 \tRecompensa: -1 \tRecompensa Acumulada: -67\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 33 \tRecompensa: -1 \tRecompensa Acumulada: -68\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 34 \tRecompensa: -1 \tRecompensa Acumulada: -69\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 35 \tRecompensa: -1 \tRecompensa Acumulada: -70\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 36 \tRecompensa: -1 \tRecompensa Acumulada: -71\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 37 \tRecompensa: -1 \tRecompensa Acumulada: -72\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 38 \tRecompensa: -1 \tRecompensa Acumulada: -73\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 39 \tRecompensa: -1 \tRecompensa Acumulada: -74\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 40 \tRecompensa: -1 \tRecompensa Acumulada: -75\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 41 \tRecompensa: -1 \tRecompensa Acumulada: -76\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 42 \tRecompensa: -1 \tRecompensa Acumulada: -77\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 43 \tRecompensa: -1 \tRecompensa Acumulada: -78\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1100 \tPaso: 44 \tRecompensa: -1 \tRecompensa Acumulada: -79\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 45 \tRecompensa: -1 \tRecompensa Acumulada: -80\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1100 \tPaso: 46 \tRecompensa: -1 \tRecompensa Acumulada: -81\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[42m_\u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 47 \tRecompensa: -1 \tRecompensa Acumulada: -82\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 48 \tRecompensa: -1 \tRecompensa Acumulada: -83\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1100 \tPaso: 49 \tRecompensa: -1 \tRecompensa Acumulada: -84\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 50 \tRecompensa: -1 \tRecompensa Acumulada: -85\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 51 \tRecompensa: -1 \tRecompensa Acumulada: -86\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1100 \tPaso: 52 \tRecompensa: -1 \tRecompensa Acumulada: -87\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tPaso: 53 \tRecompensa: -1 \tRecompensa Acumulada: -88\n",
"+---------+\n",
"|\u001b[35m\u001b[42mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1100 \tRecompensa: -68\n",
"Episodio # 1150 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[34;1mY\u001b[0m| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1150 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[34;1mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1150 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[34;1m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1150 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[42mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1150 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1150 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1150 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1150 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[35m\u001b[42mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1150 \tRecompensa: 13\n",
"Episodio # 1200 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1200 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1200 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1200 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1200 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1m\u001b[43mB\u001b[0m\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1200 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[42mB\u001b[0m: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1200 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[42m_\u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1200 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1200 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1200 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1200 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1200 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1200 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[42mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1200 \tRecompensa: 8\n",
"Episodio # 1250 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1250 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1250 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1250 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[34;1mR\u001b[0m: | : :G|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1250 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[34;1m\u001b[43mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1250 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[42mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1250 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|R: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1250 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|R: | : :G|\n",
"| :\u001b[42m_\u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1250 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1250 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1250 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1250 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[42m_\u001b[0m: |\n",
"|Y| : |\u001b[35mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1250 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[35m\u001b[42mB\u001b[0m\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1250 \tRecompensa: 8\n",
"Episodio # 1300 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|\u001b[34;1mY\u001b[0m| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1300 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[34;1mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1300 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[34;1mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1300 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[34;1mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1300 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[34;1mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1300 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[34;1mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1300 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[43m \u001b[0m| : | : |\n",
"|\u001b[34;1mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1300 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[34;1m\u001b[43mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1300 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[42mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1300 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1300 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1300 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1300 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1300 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1300 \tPaso: 15 \tRecompensa: -1 \tRecompensa Acumulada: -14\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : :\u001b[42m_\u001b[0m|\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1300 \tPaso: 16 \tRecompensa: -1 \tRecompensa Acumulada: -15\n",
"+---------+\n",
"|R: | : :\u001b[35mG\u001b[0m|\n",
"| : | : :\u001b[42m_\u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1300 \tPaso: 17 \tRecompensa: -1 \tRecompensa Acumulada: -16\n",
"+---------+\n",
"|R: | : :\u001b[35m\u001b[42mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1300 \tRecompensa: 4\n",
"Episodio # 1350 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|R: | : :\u001b[43mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1350 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|R: | :\u001b[43m \u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1350 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1350 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[43m \u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1350 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1mB\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1350 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[34;1m\u001b[43mB\u001b[0m\u001b[0m: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1350 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |\u001b[42mB\u001b[0m: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1350 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[42m_\u001b[0m: |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1350 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1350 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1350 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1350 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1350 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1350 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[42mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1350 \tRecompensa: 7\n",
"Episodio # 1400 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1400 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[35m\u001b[43mR\u001b[0m\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1400 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1400 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1400 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"|\u001b[43m \u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1400 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1400 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"|\u001b[43m \u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1400 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| :\u001b[43m \u001b[0m| : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1400 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| :\u001b[43m \u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1400 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1400 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : |\u001b[43m \u001b[0m: : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1400 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1400 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1400 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1400 \tPaso: 15 \tRecompensa: -1 \tRecompensa Acumulada: -14\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1400 \tPaso: 16 \tRecompensa: -1 \tRecompensa Acumulada: -15\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[42m_\u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1400 \tPaso: 17 \tRecompensa: -1 \tRecompensa Acumulada: -16\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1400 \tPaso: 18 \tRecompensa: -1 \tRecompensa Acumulada: -17\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1400 \tPaso: 19 \tRecompensa: -1 \tRecompensa Acumulada: -18\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1400 \tPaso: 20 \tRecompensa: -1 \tRecompensa Acumulada: -19\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1400 \tPaso: 21 \tRecompensa: -1 \tRecompensa Acumulada: -20\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1400 \tPaso: 22 \tRecompensa: -1 \tRecompensa Acumulada: -21\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1400 \tPaso: 23 \tRecompensa: -1 \tRecompensa Acumulada: -22\n",
"+---------+\n",
"|\u001b[35m\u001b[42mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1400 \tRecompensa: -2\n",
"Episodio # 1450 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |\u001b[43mB\u001b[0m: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1450 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : |\u001b[43m \u001b[0m: |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1450 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | :\u001b[43m \u001b[0m|\n",
"|Y| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1450 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : :\u001b[43m \u001b[0m|\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1450 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : :\u001b[43m \u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1450 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1450 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1450 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | :\u001b[42m_\u001b[0m:G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1450 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1450 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1450 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1450 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1450 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1450 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|\u001b[35mR\u001b[0m: | : :G|\n",
"|\u001b[42m_\u001b[0m: | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1450 \tPaso: 15 \tRecompensa: -1 \tRecompensa Acumulada: -14\n",
"+---------+\n",
"|\u001b[35m\u001b[42mR\u001b[0m\u001b[0m: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|Y| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1450 \tRecompensa: 6\n",
"Episodio # 1500 \tPaso: 1 \tRecompensa: 0 \tRecompensa Acumulada: 0\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
"\n",
"None\n",
"Episodio # 1500 \tPaso: 2 \tRecompensa: -1 \tRecompensa Acumulada: -1\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1500 \tPaso: 3 \tRecompensa: -1 \tRecompensa Acumulada: -2\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1500 \tPaso: 4 \tRecompensa: -1 \tRecompensa Acumulada: -3\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1500 \tPaso: 5 \tRecompensa: -1 \tRecompensa Acumulada: -4\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1500 \tPaso: 6 \tRecompensa: -1 \tRecompensa Acumulada: -5\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1500 \tPaso: 7 \tRecompensa: -1 \tRecompensa Acumulada: -6\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1500 \tPaso: 8 \tRecompensa: -1 \tRecompensa Acumulada: -7\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1500 \tPaso: 9 \tRecompensa: -1 \tRecompensa Acumulada: -8\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1500 \tPaso: 10 \tRecompensa: -1 \tRecompensa Acumulada: -9\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| |\u001b[43m \u001b[0m: | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1500 \tPaso: 11 \tRecompensa: -1 \tRecompensa Acumulada: -10\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m|\u001b[43m \u001b[0m: |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1500 \tPaso: 12 \tRecompensa: -1 \tRecompensa Acumulada: -11\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1500 \tPaso: 13 \tRecompensa: -1 \tRecompensa Acumulada: -12\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1500 \tPaso: 14 \tRecompensa: -1 \tRecompensa Acumulada: -13\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| :\u001b[43m \u001b[0m|B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1500 \tPaso: 15 \tRecompensa: -1 \tRecompensa Acumulada: -14\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | :\u001b[43m \u001b[0m| : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1500 \tPaso: 16 \tRecompensa: -1 \tRecompensa Acumulada: -15\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : :\u001b[43m \u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1500 \tPaso: 17 \tRecompensa: -1 \tRecompensa Acumulada: -16\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : |\u001b[43m \u001b[0m: : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1500 \tPaso: 18 \tRecompensa: -1 \tRecompensa Acumulada: -17\n",
"+---------+\n",
"|R: | : :\u001b[34;1mG\u001b[0m|\n",
"| : | :\u001b[43m \u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1500 \tPaso: 19 \tRecompensa: -1 \tRecompensa Acumulada: -18\n",
"+---------+\n",
"|R: | :\u001b[43m \u001b[0m:\u001b[34;1mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (North)\n",
"None\n",
"Episodio # 1500 \tPaso: 20 \tRecompensa: -1 \tRecompensa Acumulada: -19\n",
"+---------+\n",
"|R: | : :\u001b[34;1m\u001b[43mG\u001b[0m\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (East)\n",
"None\n",
"Episodio # 1500 \tPaso: 21 \tRecompensa: -1 \tRecompensa Acumulada: -20\n",
"+---------+\n",
"|R: | : :\u001b[42mG\u001b[0m|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (Pickup)\n",
"None\n",
"Episodio # 1500 \tPaso: 22 \tRecompensa: -1 \tRecompensa Acumulada: -21\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : :\u001b[42m_\u001b[0m|\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1500 \tPaso: 23 \tRecompensa: -1 \tRecompensa Acumulada: -22\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | :\u001b[42m_\u001b[0m: |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1500 \tPaso: 24 \tRecompensa: -1 \tRecompensa Acumulada: -23\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : :\u001b[42m_\u001b[0m: |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1500 \tPaso: 25 \tRecompensa: -1 \tRecompensa Acumulada: -24\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : :\u001b[42m_\u001b[0m: : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1500 \tPaso: 26 \tRecompensa: -1 \tRecompensa Acumulada: -25\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| :\u001b[42m_\u001b[0m: : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1500 \tPaso: 27 \tRecompensa: -1 \tRecompensa Acumulada: -26\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"|\u001b[42m_\u001b[0m: : : : |\n",
"| | : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (West)\n",
"None\n",
"Episodio # 1500 \tPaso: 28 \tRecompensa: -1 \tRecompensa Acumulada: -27\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"|\u001b[42m_\u001b[0m| : | : |\n",
"|\u001b[35mY\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1500 \tPaso: 29 \tRecompensa: -1 \tRecompensa Acumulada: -28\n",
"+---------+\n",
"|R: | : :G|\n",
"| : | : : |\n",
"| : : : : |\n",
"| | : | : |\n",
"|\u001b[35m\u001b[42mY\u001b[0m\u001b[0m| : |B: |\n",
"+---------+\n",
" (South)\n",
"None\n",
"Episodio # 1500 \tRecompensa: -8\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "oP7gQPumUybA",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 649
},
"outputId": "39546616-53d3-44b0-bf75-d81cae7d5ef1"
},
"source": [
"#from sklearn import svm\n",
"\n",
"fig = plt.gcf()\n",
"fig.set_size_inches(18.5, 10.5)\n",
"\n",
"t = np.arange(0,p['max_episodios']+1).reshape(-1,1)\n",
"\n",
"#regr = svm.SVR(kernel='rbf', C=50, gamma=0.1, epsilon=.1)\n",
"#reg = regr.fit(t, R)\n",
"#R_pred = reg.predict(t)\n",
"\n",
"n = 50\n",
"mm = media_movil(R, n)\n",
"t1 = t[n-1:]\n",
"\n",
"plt.plot(t, R, t1, mm,'r-')\n",
"plt.xlabel('# Episodio')\n",
"plt.ylabel('Recompensa Acumulada')\n",
"plt.title('Conductor Taxi con Q-Learning')\n",
"plt.grid(True)\n",
"plt.savefig('taxi_q-learning.png')\n",
"plt.show()\n"
],
"execution_count": 7,
"outputs": [
{
"output_type": "display_data",
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1332x756 with 1 Axes>"
]
},
"metadata": {
"tags": [],
"needs_background": "light"
}
}
]
}
]
}
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