This Java-application contains all required components to simulate a game of Ms. Pac-Man and let an agent learn intelligent playing behaviour using reinforcement learning and either Q-Learning or SARSA.

The framework was developed by Luuk Bom and Ruud Henken, under supervision of Marco Wiering, Department of Artificial Intelligence, University of Groningen. It formed the basis of a bachelor's thesis titled "Using reinforcement learning with relative input to train Ms. Pac-Man", L.A.M. Bom (2012).

Features

  • (Graphical) simulation of the game Ms. Pac-Man
  • Uses a small number of clever relative inputs to represent the game environment
  • Reinforcement learning with either Q-Learning or SARSA
  • Highly configurable and easy to tweak
  • Results can be exported to .CSV or plotted in graphs
  • Extensive documentation

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow Ms. Pac-Man Framework

Ms. Pac-Man Framework Web Site

Other Useful Business Software
Keep company data safe with Chrome Enterprise Icon
Keep company data safe with Chrome Enterprise

Protect your business with AI policies and data loss prevention in the browser

Make AI work your way with Chrome Enterprise. Block unapproved sites and set custom data controls that align with your company's policies.
Download Chrome
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Ms. Pac-Man Framework!

Additional Project Details

User Interface

Java AWT, Java Swing

Programming Language

Java

Related Categories

Java Intelligent Agents, Java Machine Learning Software, Java Reinforcement Learning Frameworks, Java Reinforcement Learning Libraries, Java Reinforcement Learning Algorithms

Registered

2012-09-19