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)

Open source neural network chess engine with GPU acceleration and broad hardware support.

MuZero

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

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

Implement AlphaZero/AlphaGo Zero methods on Chinese chess.

♟️ Vectorized RL game environments in JAX

Neural network-based chess engine capable of natural language commentary

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 :parrot:

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games

Research project: create a chess engine using Deep Reinforcement Learning

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.

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

A gobang robot based on reinforcement learning.

datasets for computer go

[IEEE ToG] MiniZero: An AlphaZero and MuZero Training Framework

AlphaZero based engine for the game of Go (圍棋/围棋).

A functional Alpha Zero that plays Othello using Keras

AlphaGo-Zero-Gobang 是一个基于强化学习的五子棋(Gobang)模型，主要用以了解AlphaGo Zero的运行原理的Demo，即神经网络是如何指导MCTS做出决策的，以及如何自我对弈学习。源码+教程

Allie: A UCI compliant chess engine

fast + parallel AlphaZero in JAX

Animal Fight Chess Game（斗兽棋） written in rust.

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

A fast, generalized, and modified implementation of Deepmind's distinguished AlphaZero in PyTorch.

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)