Reinforcement learning agent

The files edited by me are analysis.py, qlearningagents.py and valueIterationAgents.py

By implementing a reinforcement learning algorithm, the following pacman agent was trained in just 50 games:

Attribution to UC Berkeley

http://inst.eecs.berkeley.edu/~cs188/pacman/pacman.html

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
submission		submission
support		support
README.md		README.md
analysis.py		analysis.py
crawler.py		crawler.py
environment.py		environment.py
featureExtractors.py		featureExtractors.py
game.py		game.py
ghostAgents.py		ghostAgents.py
graphicsCrawlerDisplay.py		graphicsCrawlerDisplay.py
graphicsDisplay.py		graphicsDisplay.py
graphicsGridworldDisplay.py		graphicsGridworldDisplay.py
graphicsUtils.py		graphicsUtils.py
gridworld.py		gridworld.py
gridworld2.py		gridworld2.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
qlearningAgents.py		qlearningAgents.py
textDisplay.py		textDisplay.py
textGridworldDisplay.py		textGridworldDisplay.py
util.py		util.py
valueIterationAgents.py		valueIterationAgents.py