rmodi6/pacman-ai-multiagent
Solutions to Pacman AI Multi-Agent Search problems
This project helps students and AI enthusiasts learn and practice fundamental AI search algorithms in a fun, interactive setting. It allows you to create AI agents that can play Pac-Man, taking in game state information and outputting the optimal moves. The primary users are students in an introductory AI course or anyone exploring adversarial and stochastic search.
No commits in the last 6 months.
Use this if you are a student or hobbyist looking to understand and implement AI search algorithms like Minimax and Expectimax within a practical game environment.
Not ideal if you are looking for a complete, production-ready Pac-Man game or a tool for advanced, cutting-edge AI research beyond classical search methods.
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9
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Language
Python
License
MIT
Category
Last pushed
Jan 14, 2020
Commits (30d)
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