Machine Learning Pacman | uc3m

The Classic ghost-eating game 👾

Introduction

This project introduces us to new notions on Machine Learning. I developed this project with @chriss1245.

Dependencies:

jre-openjdk python python-pip git

Clone the repo:

git clone https://github.com/madebypixel02/Machine-Learning-Pacman.git
cd Machine-Learning-Pacman

Install the required python libraries:

JAVA_HOME=/usr/lib/jvm/default pip install -r requirements.txt

Test our machine learning algorithm

python busters.py -p QLearningAgent -l openClassic -t 0.1 -g RandomGhost

Note: -l specifies map to try (from layouts folder), -g RandomGhost specifies that ghosts will move at random instead of staying still.

May 4th, 2021

Name		Name	Last commit message	Last commit date
Latest commit History 91 Commits
layouts		layouts
practice_submissions		practice_submissions
tutorial_submissions		tutorial_submissions
.gitattributes		.gitattributes
.gitignore		.gitignore
AgentsAnalysis.xlsx		AgentsAnalysis.xlsx
Practice 2 Report.pdf		Practice 2 Report.pdf
README.md		README.md
RandomAgents.py		RandomAgents.py
agent.net		agent.net
agent2.net		agent2.net
agent3.net		agent3.net
busters.py		busters.py
bustersAgents.py		bustersAgents.py
bustersGhostAgents.py		bustersGhostAgents.py
debug_qlearning.ipynb		debug_qlearning.ipynb
deepQLearning.py		deepQLearning.py
deepQLearningAgents.py		deepQLearningAgents.py
distanceCalculator.py		distanceCalculator.py
game.py		game.py
ghostAgents.py		ghostAgents.py
grading.py		grading.py
graphicsDisplay.py		graphicsDisplay.py
graphicsUtils.py		graphicsUtils.py
inference.py		inference.py
keyboardAgents.py		keyboardAgents.py
layout.py		layout.py
log_approach1.txt		log_approach1.txt
model.net		model.net
otherBustersAgents.py		otherBustersAgents.py
pacman.py		pacman.py
projectParams.py		projectParams.py
qstate.py		qstate.py
qtable.txt		qtable.txt
requirements.txt		requirements.txt
testing.ipynb		testing.ipynb
textDisplay.py		textDisplay.py
util.py		util.py