reversi-alpha-zero and alpha-zero-general
These are competitors, as both repositories provide implementations of AlphaZero methods for game playing, with "alpha-zero-general" offering a generalized framework for various games and "reversi-alpha-zero" focusing specifically on Reversi.
About reversi-alpha-zero
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.
About alpha-zero-general
suragnair/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
This project offers a flexible implementation of the AlphaZero algorithm, enabling you to train an AI to play any two-player turn-based board game. It takes the rules of a game and a neural network model as input, and outputs a highly skilled AI player that learns through self-play. This is ideal for AI researchers, game designers, or hobbyists looking to create strong AI opponents for custom or existing board games.
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