A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

MuZero

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

Neural network-based chess engine capable of natural language commentary

♟️ Vectorized RL game environments in JAX

Easily train AlphaZero-like agents on any environment you want!

A Multi-threaded Implementation of AlphaZero (C++)

Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)

A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

《佳佳象棋 GGzero》 采用 alphazero 技术的中国象棋引擎

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

datasets for computer go

A gobang robot based on reinforcement learning.

A functional Alpha Zero that plays Othello using Keras

Allie: A UCI compliant chess engine