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

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

MuZero

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

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

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 tool for retrosynthetic planning

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

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

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

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

Monte Carlo Tree Search Based AI Connect 4 Bot

A JavaScript + TensorFlow.js Porting of https://github.com/suragnair/alpha-zero-general (Python). 1. Import Keras pretrained model and run it successfully 2. self-train from the beginning also works on the browser. Try it: https://grimmer.io/alphago-zero-tictactoe-js/, use "npm run deploy" to upload. 2 output of the network: policy and value.

Various C# implementations of game AI

Algorithms for building strong immutable AIs for round-based games.

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

Solving board games like Connect4 using Deep Reinforcement Learning

UCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)

Deep active inference agents using Monte-Carlo methods

Using self-play, MCTS, and a deep neural network to create a hearthstone ai player

This is a pip package implementing Reinforcement Learning algorithms in non-stationary environments supported by the OpenAI Gym toolkit.

An AI for Reversi.

An implementation of SEPARO, a board game, with Monte Carlo Tree Search algorithm in Rust/wasm.

My Simple Implementation of AlphaGo Zero on Connect4

A board game framework, focused not on graphics or user interfaces, but on artificial players design, implementation and testing.

Quoridor AI based on Monte Carlo tree search

🌳 Python implementation of single-player Monte-Carlo Tree Search.

A gomoku AI based on Alpha Zero paper.