monte-carlo-tree-search
There are 489 repositories under monte-carlo-tree-search topic.
suragnair/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
junxiaosong/AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
codelion/optillm
Optimizing inference proxy for LLMs
google-deepmind/mctx
Monte Carlo tree search in JAX
opendilab/LightZero
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios (awesome MCTS)
MolecularAI/aizynthfinder
A tool for retrosynthetic planning
benedekrozemberczki/awesome-monte-carlo-tree-search-papers
A curated list of Monte Carlo tree search papers with implementations.
peter1591/hearthstone-ai
A Hearthstone AI based on Monte Carlo tree search and neural nets written in modern C++.
namin/llm-verified-with-monte-carlo-tree-search
LLM verified with Monte Carlo Tree Search
DataCanvasIO/Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
shobrook/saplings
A library of reasoning algorithms for AI agents
jbradberry/mcts
Board game AI implementations using Monte Carlo Tree Search
pandezhao/alpha_sigma
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
liuanji/WU-UCT
A novel parallel UCT algorithm with linear speedup and negligible performance loss.
rlglab/minizero
[IEEE ToG] MiniZero: An AlphaZero and MuZero Training Framework
netcan/AnimalChess
Animal Fight Chess Game（斗兽棋） written in rust.
lowrollr/turbozero
fast + parallel AlphaZero in JAX
HanqingWangAI/SceneMover
Project of Siggraph Asia 2020 paper: Scene Mover: Automatic Move Planning for Scene Arrangement by Deep Reinforcement Learning
zfountas/deep-active-inference-mc
Deep active inference agents using Monte-Carlo methods
in-op/GameAI
Various C# implementations of game AI
gorisanson/quoridor-ai
Quoridor AI based on Monte Carlo tree search
kobanium/Ray
Computer go engine using Monte-Carlo Tree Search (MCTS)
DHDev0/Stochastic-muzero
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
masouduut94/MCTS-agent-python
Monte 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 and planning problems. In this project I used a board game called "HEX" as a platform to test different simulation strategies in MCTS field.
diditforlulz273/PokerRL-Omaha
Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork
santinic/unvibe
Generate code from unit-tests
kobanium/TamaGo
Computer go engine using Monte-Carlo Tree Search written in Python3.
FelixOpolka/Single-Player-MCTS
🌳 Python implementation of single-player Monte-Carlo Tree Search.
TianHongZXY/CoRe
[ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models (LLMs + MCTS + Self-Improvement)
Weizhe-Chen/PyPolo
A Python library for Robotic Information Gathering
cloxnu/Omega_Gomoku_AI
♟♟♟♟♟ A Gomoku game AI based on Monte Carlo Tree Search, can be trained on policy-value network now. 一个蒙特卡洛树搜索算法实现的五子棋 AI，现可用神经网络训练模型。
CyCTW/Parallel-MCTS
Parallel Monte Carlo Tree Search, see README.md for more detailed usage and information.
avartia/miniAlphaGo-for-Reversi
An AI for Reversi.
Alfo5123/Connect4
Monte Carlo Tree Search Based AI Connect 4 Bot
grimmerk/alphago-zero-tictactoe-js
A TypeScript game framework based on AlphaZero/TensorFlow.js runs in browser to demonstrate tic-tac-toe AI game. Use a pre-trained model or train from scratch. Ported from suragnair/alpha-zero-general (Python)