Alphazero gomokuAn implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Alpha Zero GeneralA clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
quoridor-aiQuoridor AI based on Monte Carlo tree search
alpha-zeroAlphaZero 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.
MCTS-agent-pythonMonte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …
UCThelloUCThello - 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)
godpaper🐵 An AI chess-board-game framework(by many programming languages) implementations.
muzeroA 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.
pyDLGO基於深度學習的 GTP 圍棋(围棋)引擎,KGS 指引文件以及演算法教學。
jupiterA Monte-Carlo based AI to beat 2048
HypernetsA General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.