A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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Updated
Jun 6, 2024 - Jupyter Notebook
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)
Monte Carlo tree search in JAX
A tool for retrosynthetic planning
Optimizing inference proxy for LLMs
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
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++.
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
Board game AI implementations using Monte Carlo Tree Search
LLM verified with Monte Carlo Tree Search
A novel parallel UCT algorithm with linear speedup and negligible performance loss.
Various C# implementations of game AI
MiniZero: An AlphaZero and MuZero Training Framework
Monte Carlo Tree Search Based AI Connect 4 Bot
Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork
Deep active inference agents using Monte-Carlo methods
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