gavento/gamegym
A game theory framework with examples and algorithms
Game Gym helps AI researchers and game developers design, simulate, and analyze complex strategic games. You can input custom game rules or choose from included classic games, and it will output computed strategies, approximate Nash equilibria, and insights into how different AI players might perform. This is ideal for those exploring advanced game theory concepts or building AI for complex interactive systems.
No commits in the last 6 months. Available on PyPI.
Use this if you need to model multi-player strategic interactions, understand optimal play, or develop AI agents for games with elements like partial information or simultaneous moves.
Not ideal if you are looking for a pre-built solution for simple turn-based games or a graphical interface for game development without deep strategic analysis.
Stars
74
Forks
8
Language
Python
License
MIT
Category
Last pushed
Apr 22, 2019
Commits (30d)
0
Dependencies
3
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