mjx-project/mjx
Mjx: A framework for Mahjong AI research
Mjx helps researchers in artificial intelligence (AI) develop and evaluate AI players for Japanese Mahjong (Riichi Mahjong). It takes in game logic and AI decision-making rules, and simulates thousands of Mahjong games very quickly, providing game outcomes and performance metrics. This is for AI researchers and game developers who are creating or refining Mahjong-playing AI.
205 stars. No commits in the last 6 months.
Use this if you are developing or testing Mahjong AI and need a fast, accurate, and scalable game simulator to run many evaluation games.
Not ideal if you are looking for a casual Mahjong game to play yourself, or if you need a simulator for a different variant of Mahjong.
Stars
205
Forks
25
Language
C++
License
MIT
Category
Last pushed
Apr 19, 2024
Commits (30d)
0
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