lucylow/Deep-Learning-Mahjong---
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
This project creates realistic and intelligent Mahjong opponents for digital games. By analyzing gameplay and learning from top human players, it generates computer opponents that make dynamic, strategic decisions, offering a challenging and immersive experience for Mahjong enthusiasts and game developers.
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Use this if you are a game developer looking to integrate advanced AI opponents into a Mahjong game that can adapt and offer varied challenges, or if you are a Mahjong player interested in a highly intelligent computer opponent.
Not ideal if you are looking for a simple Mahjong game with basic, predictable computer players, or if your primary interest is in a casual, rule-based game without sophisticated AI.
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JavaScript
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Last pushed
Aug 24, 2022
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