ZSalloum

MAX_ITER = 10000;

function getMax(arr){
	return arr[0]<=arr[1] ? 1 : 0;
}

function getMin(arr){
	return arr[0]<arr[1] ? 0 : 1;
}

ZSalloum

# the standard implementation of ARS

# Importing the libraries
import datetime
import os
import numpy as np
import gym
from gym import wrappers
import pybullet_envs

ZSalloum

import numpy as np


def sigmoid(x):
    return 1.0 / (1.0 + np.exp(-x))


def sigmoid_prime(x):
    return sigmoid(x) * (1.0 - sigmoid(x))

ZSalloum

import numpy as np


def sigmoid(x):
    return 1.0 / (1.0 + np.exp(-x))


def sigmoid_prime(x):
    return sigmoid(x) * (1.0 - sigmoid(x))

ZSalloum

def dF(x):
    return 2*x

a = .9

def gradient_descent_constant_alpha(th, a, epsilon):
    i=1
    deriv=dF(th)
    print(i,",", th, ", ", a, ", ", deriv)

ZSalloum

import numpy as np
import matplotlib.pyplot as plt


# these are the control variables, change them to customize the execution of this program
cntExperiments= 1001 # number of experiments to run, large number means longer execution time
MAX_ITER = 301      # number of episodes per experiment, large number means longer execution time
ACTIONS_FOR_B = 10  #number of actions at state B