Schokoban is a MCTS based solver for Sokoban.
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Updated
Jun 24, 2024 - Python
Schokoban is a MCTS based solver for Sokoban.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
A programming language for implementing turn-based games with complex rule sets. (with built in Monte Carlo Tree Search AI!)
This repository contains an implementation of checkers where different agents play against each other using different algorithms including Monte Carlo Tree Search, Alpha-Beta Pruning, and Minimax.
MiniZero: An AlphaZero and MuZero Training Framework
Lichess bot equipped with a Monte-Carlo Tree Search engine
This web application provides a comprehensive platform for testing and interacting with various AI agents developed for the ConnectX game. Built with a React frontend and a Python Flask backend, this platform offers a visually engaging interface that allows users to easily interact with and evaluate the performance of different game AI agents.
Toolkit for chemical synthesis planning
The TicTacToe-MCTS-Bot project is an implementation of a Tic Tac Toe game-playing bot powered by the Monte Carlo Tree Search (MCTS) algorithm.
This repository, HandsOnAI, offers a comprehensive series of tutorials and projects to provide hands-on experience with AI techniques and algorithms, covering topics such as search algorithms, reinforcement learning, and neural networks.
GameAI with C++
A repository of various articles, posts, papers and code snippets
Monte Carlo tree search in JAX
A ReactJS Connect 4 Game App with AI using Monte Carlo Tree Search
Code accompanying the paper "Lookahead Pathology in Monte Carlo Tree Search" (ICAPS, 2024)
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Partially Observable Monte Carlo Planning algorithm (POMCP)
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