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

Unified Reinforcement Learning Framework

SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL

Official implementation of ICLR 2025 paper: "Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search".

MCTS algorithm tutorial and it's explanation with code. Application of MCTS to create A.I for simple game.

mcts-simple is a Python3 library that implements Monte Carlo Tree Search and its variants to solve a host of problems, most commonly for reinforcement learning.

A Monte Carlo Tree Search AI for the game 2048

为 RWKV 设计的「Deep Think」实现。

An eXplainable AI system to elucidate short-term speed forecasts in traffic networks obtained by Spatio-Temporal Graph Neural Networks.

Monte Carlo tree search (MCTS) on traveling salesman problem (TSP)

In this project we try to create a sophisticated computer agent to play the Contact Bridge card game. Our goal is to develop an agent that is tough to play against, with fast reaction time so it is able to play in real time against humans. We approached this as a search problem, and implemented search-tree heuristics based on Minimax and Monte Carlo Tree Search. Implemented as a final project for the "Introduction to Aritifical Intelligence" course of the Hebrew University of Jerusalem.

Companion repository of the "Dancer in the Dark" paper.

基于Qt的不围棋(nogo)单机对战平台，包含基于MCTS的AI对战Bot

Monte Carlo tree search for the travelling salesman problem (MCTS for the TSP)

MCTS based playing strategies for the card game Durak

♟️ Deploy a AI five-in-a-row game. Including front-end, back-end & deep RL code. 基于 vue3 与 flask 部署的强化学习五子棋 AlphaGo 实践。

Adaptive Iterative Feedback Prompting for Obstacle-Aware Path Planning via LLMs - LM4Planning - AAAI2025

An AI agent developed to play Ms. Pac-Man by adopting a strategy formed by MCTS and a FSM.

AI for the Connect 4 game

MCTS Pacman agent applied to the Pacman VS Ghosts conpetition framework

AlphaGo-inspired MCTS for document retrieval. No vectors, no embeddings, no chunking — just reasoning. Upload PDFs, ask questions, get answers with citations.

Reversi (Othello) AI game in C#. Using Monte Carlo Tree Search algorithm AND BTMM algorithm.

Tictactoe engine using Monte Carlo Tree Search

基于深度强化学习和蒙特卡洛树搜索（MCTS）的第五人格黑白棋 AI 实现，采用类似 AlphaZero 的架构设计。

A tool on Taobao.com using Monte Carlo Tree Search to help make sensible shop plan📃, considering discount🏷, desiring score💗 and budget💳, etc.

Docker files for connecting the PROST planner with pyRDDLGym.

XOXO² - Use Reinforcement Learning to train agent to play U_T-T-T.

python实现的五子棋小游戏

Monte Carlo tree search (MCTS) for Elixir.

Advancing game performance through advanced AI algorithms and reinforcement learning for unmatched efficiency and adaptability.