MultiAgentPacman

Mini-max, Alpha-Beta pruning, Expectimax techniques are used to implement multi-agent pacman adversarial search.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
README.md		README.md
VERSION		VERSION
autograder.py		autograder.py
autograder.pyc		autograder.pyc
file.text		file.text
file.txt		file.txt
file1.txt		file1.txt
game.py		game.py
game.pyc		game.pyc
ghostAgents.py		ghostAgents.py
ghostAgents.pyc		ghostAgents.pyc
grading.py		grading.py
grading.pyc		grading.pyc
graphicsDisplay.py		graphicsDisplay.py
graphicsDisplay.pyc		graphicsDisplay.pyc
graphicsUtils.py		graphicsUtils.py
graphicsUtils.pyc		graphicsUtils.pyc
keyboardAgents.py		keyboardAgents.py
keyboardAgents.pyc		keyboardAgents.pyc
layout.py		layout.py
layout.pyc		layout.pyc
multiAgents _Rename.py		multiAgents _Rename.py
multiAgents.py		multiAgents.py
multiAgents.pyc		multiAgents.pyc
multiagentTestClasses.py		multiagentTestClasses.py
multiagentTestClasses.pyc		multiagentTestClasses.pyc
pacman.py		pacman.py
pacman.pyc		pacman.pyc
pacmanAgents.py		pacmanAgents.py
projectParams.py		projectParams.py
projectParams.pyc		projectParams.pyc
testClasses.py		testClasses.py
testClasses.pyc		testClasses.pyc
testParser.py		testParser.py
testParser.pyc		testParser.pyc
textDisplay.py		textDisplay.py
textDisplay.pyc		textDisplay.pyc
util.py		util.py
util.pyc		util.pyc

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