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tegg89 / dqn_fruit.py
Created March 5, 2019 05:25 — forked from kastnerkyle/dqn_fruit.py
Implementation of DQN, Double DQN, Bootstrap DQN, and Bootstrap DQN with Randomized Prior in PyTorch on a toy environment
# extending on code from
# https://github.com/58402140/Fruit
import os
import numpy as np
import matplotlib
matplotlib.use('TkAgg')
from matplotlib import pyplot as plt
import copy
import time
from collections import Counter
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tegg89 / Amortized_Explaining_Away_Demo.ipynb
Created September 21, 2018 06:52 — forked from fhuszar/Amortized_Explaining_Away_Demo.ipynb
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tegg89 / visualization.ipynb
Created April 21, 2017 10:11 — forked from falcondai/visualization.ipynb
visualize https://github.com/tensorflow/models/video_prediction
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tegg89 / min-char-rnn.py
Created June 28, 2016 08:23 — forked from karpathy/min-char-rnn.py
Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np
# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)