mcts

There are 358 repositories under mcts topic.

  • suragnair/alpha-zero-general

    A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

    Language:Jupyter Notebook3.7k1131761k

  • junxiaosong/AlphaZero_Gomoku

    An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

    Language:Python3.2k102119958

  • werner-duvaud/muzero-general

    MuZero

    Language:Python2.4k75175596

  • opendilab/LightZero

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

    Language:Python909128382

  • chauvinSimon/My_Bibliography_for_Research_on_Autonomous_Driving

    Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

    43233193

  • s-casci/tinyzero

    Easily train AlphaZero-like agents on any environment you want!

    Language:Python3963014

  • hrpan/tetris_mcts

    MCTS project for Tetris

    Language:Python33613434

  • dylandjian/SuperGo

    A student implementation of Alpha Go Zero

    Language:Python27612862

  • DataCanvasIO/Hypernets

    A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

    Language:Python260192340
  • CrazyAra

    QueensGambit/CrazyAra

    A Deep Learning UCI-Chess Variant Engine written in C++ & Python :parrot:

    Language:Jupyter Notebook232195342

  • sungyubkim/Deep_RL_with_pytorch

    A pytorch tutorial for DRL(Deep Reinforcement Learning)

    Language:Jupyter Notebook2007144

  • thuxugang/doudizhu

    AI斗地主

    Language:Python18291366

  • initial-h/AlphaZero_Gomoku_MPI

    An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

    Language:Python181104442

  • vgarciasc/mcts-viz

    Visualization of MCTS algorithm applied to Tic-tac-toe.

    Language:JavaScript1633111

  • kaesve/muzero

    A 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.

    Language:Jupyter Notebook1468723

  • akolishchak/doom-net-pytorch

    Reinforcement learning models in ViZDoom environment

    Language:Python1319720

  • manyoso/allie

    Allie: A UCI compliant chess engine

    Language:C++104131521

  • blanyal/alpha-zero

    AlphaZero 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.

    Language:Python849228

  • Urinx/ReinforcementLearning

    Reinforcing Your Learning of Reinforcement Learning

    Language:Python849021

  • zjeffer/chess-deep-rl

    Research project: create a chess engine using Deep Reinforcement Learning

    Language:Jupyter Notebook76708

  • kobanium/Ray

    Computer go engine using Monte-Carlo Tree Search (MCTS)

    Language:C++69101881

  • lowrollr/turbozero

    fast + parallel AlphaZero in JAX

    Language:Python69284

  • YoujiaZhang/AlphaGo-Zero-Gobang

    Meta-Zeta是一个基于强化学习的五子棋(Gobang)模型，主要用以了解AlphaGo Zero的运行原理的Demo，即神经网络是如何指导MCTS做出决策的，以及如何自我对弈学习。源码+教程

    Language:Python66278
  • Sayuri

    CGLemon/Sayuri

    AlphaZero based engine for the game of Go (圍棋/围棋).

    Language:C++632207

  • 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.

    Language:Python60319

  • gorisanson/quoridor-ai

    Quoridor AI based on Monte Carlo tree search

    Language:JavaScript58428

  • CGLemon/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。

    Language:Python51258

  • kobanium/TamaGo

    Computer go engine using Monte-Carlo Tree Search written in Python3.

    Language:Python5044011

  • rlglab/minizero

    MiniZero: An AlphaZero and MuZero Training Framework

    Language:C++50539

  • yangboz/godpaper

    :monkey_face: An AI chess-board-game framework(by many programming languages) implementations.

    Language:HTML4710118

  • coreylowman/synthesis

    A rust implementation of AlphaZero algorithm

    Language:Rust39315

  • hr0nix/omega

    A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.

    Language:Python36534

  • xuetf/AlphaZero_Gobang

    Deep Learning big homework of UCAS

    Language:Python362117

  • masterai-top/MasterAI-2.0-1vs1-NoLimit

    MasterAI is an AI poker dedicated to suport n-play (single- or multi-agent) Texas Hold'em imperfect-informatin games.

    Language:C++32329

  • michaelbzms/MonteCarloTreeSearch

    A fast C++ impementation of Monte Carlo Tree Search with abstract classes that a user of this library can extend in order to use it. To demonstrate it I apply it to the game of Quoridor.

    Language:C++32305

  • TianHongZXY/CoRe

    [ACL 2023] Solving Math Word Problems via Cooperative Reasoning induced Language Models

    Language:Python32155