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

Monte Carlo tree search in JAX

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

A curated list of Monte Carlo tree search papers with implementations.

A tool for retrosynthetic planning

A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.

A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

LLM verified with Monte Carlo Tree Search

Board game AI implementations using Monte Carlo Tree Search

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

A novel parallel UCT algorithm with linear speedup and negligible performance loss.

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

Project of Siggraph Asia 2020 paper: Scene Mover: Automatic Move Planning for Scene Arrangement by Deep Reinforcement Learning

Various C# implementations of game AI

Deep active inference agents using Monte-Carlo methods

Computer go engine using Monte-Carlo Tree Search (MCTS)

fast + parallel AlphaZero in JAX

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork