mokemokechicken/reversi-alpha-zero
Reversi reinforcement learning by AlphaGo Zero methods.
This project helps you train an AI to play Reversi at an expert level using advanced machine learning techniques, similar to those used by AlphaGo Zero. You provide the computing power, and the system generates gameplay data, trains neural networks, and evaluates new AI models. The output is a highly skilled Reversi AI that can be played against or used as an engine. It's designed for enthusiasts of board games and AI who want to develop a strong Reversi opponent.
686 stars. No commits in the last 6 months.
Use this if you want to create and continuously improve a powerful Reversi AI player through self-play and neural network training.
Not ideal if you're looking for a pre-trained Reversi AI you can instantly use without setting up a training environment.
Stars
686
Forks
167
Language
Python
License
MIT
Category
Last pushed
Dec 07, 2022
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