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# -*- coding: utf-8 -*- | |
import tensorflow as tf | |
import threading | |
import numpy as np | |
import signal | |
import random | |
import math | |
import os | |
import time |
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import numpy as np | |
from numpy.linalg import inv | |
x_observations = np.array([4000, 4260, 4550, 4860, 5110]) | |
v_observations = np.array([280, 282, 285, 286, 290]) | |
z = np.c_[x_observations, v_observations] | |
# Initial Conditions | |
a = 2 # Acceleration |
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import gym | |
from gym import wrappers | |
import numpy as np | |
env = gym.make("FrozenLake-v0") | |
env = wrappers.Monitor(env, "./results", force=True) | |
Q = np.zeros([env.observation_space.n, env.action_space.n]) | |
n_s_a = np.zeros([env.observation_space.n, env.action_space.n]) |
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import gym | |
import numpy | |
impoort time | |
#Function for a random policy | |
def randomPolicy(): | |
return numpy.random.choice(4, size=((16))) | |
#Execution | |
def execute(env, policy, episode_len=100, render=False): | |
reward = 0 | |
obs = env.reset() |