Pacman-Reinforcement-Learning

This is my solution to the Pacman Reinforcement Learning problem as a part of my Foundation of AI course(CS5330) (link to the problem: https://inst.eecs.berkeley.edu/~cs188/fa19/project3/)

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
__pycache__		__pycache__
layouts		layouts
test_cases		test_cases
.gitattributes		.gitattributes
README.md		README.md
VERSION		VERSION
analysis.py		analysis.py
autograder.py		autograder.py
crawler.py		crawler.py
environment.py		environment.py
featureExtractors.py		featureExtractors.py
game.py		game.py
ghostAgents.py		ghostAgents.py
grading.py		grading.py
graphicsCrawlerDisplay.py		graphicsCrawlerDisplay.py
graphicsDisplay.py		graphicsDisplay.py
graphicsGridworldDisplay.py		graphicsGridworldDisplay.py
graphicsUtils.py		graphicsUtils.py
gridworld.py		gridworld.py
keyboardAgents.py		keyboardAgents.py
layout.py		layout.py
learningAgents.py		learningAgents.py
mdp.py		mdp.py
pacman.py		pacman.py
pacmanAgents.py		pacmanAgents.py
projectParams.py		projectParams.py
qlearningAgents.py		qlearningAgents.py
reinforcementTestClasses.py		reinforcementTestClasses.py
submission_autograder.py		submission_autograder.py
testClasses.py		testClasses.py
testParser.py		testParser.py
textDisplay.py		textDisplay.py
textGridworldDisplay.py		textGridworldDisplay.py
util.py		util.py
valueIterationAgents.py		valueIterationAgents.py

Provide feedback