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)

javascript gobang AI，JS五子棋AI，源码+教程，基于Alpha-Beta剪枝算法（不是神经网络）

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

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

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

Try the always win AI online

One of the strongest Gomoku/Renju playing engine

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

Reinforcing Your Learning of Reinforcement Learning

A relatively strong gomoku AI

A highly customizable, low-level Preact Goban component.

MiniZero: An AlphaZero and MuZero Training Framework

A serious Gomoku board game AI written in C++

alphaGo版本的五子棋(gobang, gomoku)

An implementation of improved AlphaGo algorithm in the game of Gomoku.

SlowRenju is a Gomoku/Renju engine, which supports the new protocol of Gomocup.

this is a Gomoku game's client and server, which bulid by canvas and swoole

♟♟♟♟♟ A Gomoku game AI based on Monte Carlo Tree Search, can be trained on policy-value network now. 一个蒙特卡洛树搜索算法实现的五子棋 AI，现可用神经网络训练模型。