GitHub - utkarshdalal/ReinforcementLearning: Using Q-learning (Reinforcement Learning), programmed a simulated walker robot to learn to walk through trial and error.

utkarshdalal / ReinforcementLearning Public

Using Q-learning (Reinforcement Learning), programmed a simulated walker robot to learn to walk through trial and error.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
layouts		layouts
test_cases		test_cases
analysis.py		analysis.py
autograder.py		autograder.py
crawler.py		crawler.py
environment.py		environment.py
environment.pyc		environment.pyc
featureExtractors.py		featureExtractors.py
featureExtractors.pyc		featureExtractors.pyc
game.py		game.py
game.pyc		game.pyc
ghostAgents.py		ghostAgents.py
grading.py		grading.py
graphicsCrawlerDisplay.py		graphicsCrawlerDisplay.py
graphicsDisplay.py		graphicsDisplay.py
graphicsGridworldDisplay.py		graphicsGridworldDisplay.py
graphicsGridworldDisplay.pyc		graphicsGridworldDisplay.pyc
graphicsUtils.py		graphicsUtils.py
graphicsUtils.pyc		graphicsUtils.pyc
gridworld.py		gridworld.py
gridworld.pyc		gridworld.pyc
keyboardAgents.py		keyboardAgents.py
layout.py		layout.py
learningAgents.py		learningAgents.py
learningAgents.pyc		learningAgents.pyc
mdp.py		mdp.py
mdp.pyc		mdp.pyc
pacman.py		pacman.py
pacmanAgents.py		pacmanAgents.py
projectParams.py		projectParams.py
qlearningAgents.py		qlearningAgents.py
qlearningAgents.pyc		qlearningAgents.pyc
reinforcementTestClasses.py		reinforcementTestClasses.py
testClasses.py		testClasses.py
testParser.py		testParser.py
textDisplay.py		textDisplay.py
textGridworldDisplay.py		textGridworldDisplay.py
textGridworldDisplay.pyc		textGridworldDisplay.pyc
util.py		util.py
util.pyc		util.pyc
valueIterationAgents.py		valueIterationAgents.py
valueIterationAgents.pyc		valueIterationAgents.pyc