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GitHub topics: mcts

yaotingwangofficial/Awesome-MCoT

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

Size: 4.59 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 553 - Forks: 13

ITACHIabimem/Alpha

A freelance website for custom-made safety work shoes. Updating, deleting and creating in every way available. resx files update value creation and deletion available. When deleting and creating an entity, there is communication between them, but it would be better if I created services for these instead of processing them in the controller.

Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

rishabhgoel0213/ZeroClone

Language: Python - Size: 27.7 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

PitilessPeanut/IncludeAI

#include-only, single header, custom written ai that can play ANY turn based game, including Boardgames, Card-games, hidden-info games, multiplayer games, and games with randomness.

Language: C++ - Size: 103 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

opendilab/LightZero

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

Language: Python - Size: 115 MB - Last synced at: 7 days ago - Pushed at: 10 days ago - Stars: 1,359 - Forks: 152

hijkzzz/Awesome-LLM-Strawberry

A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.

Size: 1.65 MB - Last synced at: 9 days ago - Pushed at: 18 days ago - Stars: 6,707 - Forks: 371

zzli2022/Awesome-System2-Reasoning-LLM

Latest Advances on System-2 Reasoning

Language: Python - Size: 2.63 MB - Last synced at: 10 days ago - Pushed at: 19 days ago - Stars: 975 - Forks: 44

nightcrab/nana

Tetromino AI

Language: C++ - Size: 10.9 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 3 - Forks: 0

FZRKexEr/BetaZero

Monte Carlo Tree Search and Neural Networks

Language: C++ - Size: 27 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

naidezhujimo/CoAT-MCTS-

Language: Python - Size: 0 Bytes - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

angrysky56/mcts-mcp-server

Bayesian MCTS Model Context Protocol Server

Language: Python - Size: 281 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

dfrandsen0/connect-4-database

MCTS but storing simulations from each game in a database

Language: C++ - Size: 154 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

CGLemon/Sayuri

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

Language: C++ - Size: 14.7 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 95 - Forks: 10

OMerkel/UCThello

UCThello - a board game demonstrator (Othello variant) with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short)

Language: JavaScript - Size: 5.61 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 25 - Forks: 4

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 Notebook - Size: 414 MB - Last synced at: 16 days ago - Pushed at: 4 months ago - Stars: 4,113 - Forks: 1,087

WorkingRobot/Craftimizer

The best FFXIV crafting solver via hardware accelerated Genetic MCTS.

Language: C# - Size: 1.37 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 25 - Forks: 17

rayyan-merchant/Passer-Eater-Game

Passer Eater is a strategic 9x9 board game where the human player (Passer) aims to connect a path of markers from the left to the right or top to the bottom edge, while the AI (Eater) blocks the path. Features three AI difficulty modes: easy (random), medium (Minimax), and hard (MCTS). Built in Python with a pygame based GUI..

Language: Python - Size: 165 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

junxiaosong/AlphaZero_Gomoku

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

Language: Python - Size: 7.88 MB - Last synced at: 22 days ago - Pushed at: about 1 year ago - Stars: 3,459 - Forks: 985

rystrauss/dopamax

Reinforcement learning in pure JAX.

Language: Python - Size: 262 KB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 12 - Forks: 1

bellerb/chess

Program for playing chess in the console against AI or human opponents

Language: Python - Size: 72.6 MB - Last synced at: 15 days ago - Pushed at: over 3 years ago - Stars: 20 - Forks: 8

DataCanvasIO/Hypernets

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

Language: Python - Size: 17.8 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 267 - Forks: 41

QueensGambit/CrazyAra

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

Language: Jupyter Notebook - Size: 61.5 MB - Last synced at: 24 days ago - Pushed at: about 2 months ago - Stars: 263 - Forks: 44

werner-duvaud/muzero-general

MuZero

Language: Python - Size: 7.09 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 2,610 - Forks: 636

PhoenixSmaug/mcts

A highly efficient implementation of the Monte Carlo Tree Search algorithm on an example game.

Language: Julia - Size: 15.6 KB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

deeptexas-ai/The-strongest-AI-in-Texas-Hold-em-unlimited-Texas-Hold-em-1-vs.-1

德州扑克最强人工智能AI,1对1的德州AI,可以战胜人类顶尖职业牌手,先出售全套AI源代码和AI训练模型;Telegram联系: @xuzongbin001 或E-mail:[email protected]

Language: C++ - Size: 4.31 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 19 - Forks: 4

deeptexas-ai/MasterAI-1.0-1vs1-Limit

出售德州扑克AI核心算法和训练大模型,有意者Telegram :@xuzongbin001

Language: C++ - Size: 37.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 2

saadsalmanakram/MCTS

Monte Carlo Tree Search

Size: 56.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

vgarciasc/mcts-viz

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

Language: JavaScript - Size: 66.4 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 233 - Forks: 12

joansalasoler/engines

This repository inclues the Samurai framework and all the implemented base engines.

Size: 39.1 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0

zjeffer/chess-deep-rl

Research project: create a chess engine using Deep Reinforcement Learning

Language: Jupyter Notebook - Size: 10.3 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 135 - Forks: 12

Joker2770/Z2I

The pbrain-Z2I is just a gomoku engine which use the protocol of gomocup. (最新权重在咸鱼有售)

Language: C++ - Size: 249 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

PuYuuu/vehicle-interaction-decision-making

The decision-making of multiple vehicles at intersection bases on level-k game and MCTS

Language: C++ - Size: 5 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 114 - Forks: 43

jianzhnie/RLZero

A clean and easy implementation of MuZero, AlphaZero and Self-Play reinforcement learning algorithms for any game.

Language: Python - Size: 384 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 14 - Forks: 0

StarLight1212/self_play

Self play strategy for all interesting games.

Language: Jupyter Notebook - Size: 206 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 0

Urinx/ReinforcementLearning

Reinforcing Your Learning of Reinforcement Learning

Language: Python - Size: 118 MB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 94 - Forks: 22

Max-We/alphazero-tetris

An implementation of AlphaZero and MCTS with neural networks for Tetris

Language: Python - Size: 1.75 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

Wangmerlyn/MCTS-GSM8k-Demo

This is a repo for showcasing using MCTS with LLMs to solve gsm8k problems

Language: Python - Size: 17.6 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 66 - Forks: 8

AubinSeptier/gymnasium-agents

A set of reinforcement learning agents using the Gymnasium library. Includes Random, MTCS, DQN and light-AlphaZero Agents for Othello and Connect 4.

Language: Jupyter Notebook - Size: 30.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ai-boson/mcts

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

Language: Ruby - Size: 378 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 30 - Forks: 0

lowrollr/turbozero

fast + parallel AlphaZero in JAX

Language: Python - Size: 28.8 MB - Last synced at: 30 days ago - Pushed at: 5 months ago - Stars: 94 - Forks: 9

zjeffer/chess-deep-rl-cpp

C++ version of my chess-deep-rl project. WIP

Language: C++ - Size: 2.79 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 7 - Forks: 5

DenseLance/mcts-simple

mcts-simple is a Python3 library that allows reinforcement learning problems to be solved easily with its implementations of Monte Carlo Tree Search.

Language: Python - Size: 11.1 MB - Last synced at: 1 day ago - Pushed at: 11 months ago - Stars: 27 - Forks: 2

ianfab/chess-variant-mcts

MCTS/UCT search for chess variants

Language: Python - Size: 33.2 KB - Last synced at: 14 days ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 0

LucasColas/Poker-AI

Several agents that can play poker (using probability, monte carlo, etc.) and clustering to get the types of poker players.

Language: Python - Size: 3.01 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 10 - Forks: 2

Sagebati/OxyMcts

Mcts library written in rust, for rust.

Language: Rust - Size: 72.3 KB - Last synced at: 12 days ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 3

Goer17/InnoTree

InnoTree is an advanced agent system specifically designed to integrate Monte Carlo Tree Search (MCTS) techniques, enabling the efficient generation and exploration of innovative scientific ideas.

Language: Python - Size: 812 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 2

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: Python - Size: 12.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 61 - Forks: 9

initial-h/AlphaZero_Gomoku_MPI

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

Language: Python - Size: 28 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 197 - Forks: 45

HKUNLP/DiffuSearch

[ICLR 2025] Code for the paper "Implicit Search via Discrete Diffusion: A Study on Chess"

Language: Python - Size: 23.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 5 - Forks: 0

khoda81/twenty-fourty-eight-solver

Rust-based 2048 game solver using MeanMax and MCTS algorithms, with an interactive board editor and Optuna for hyperparameter optimization.

Language: Rust - Size: 86.9 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

rlglab/minizero

MiniZero: An AlphaZero and MuZero Training Framework

Language: C++ - Size: 2.32 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 79 - Forks: 21

ellenjxu/controlzero

AlphaZero for Continuous Control

Language: Python - Size: 1.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

AI4Science-WestlakeU/t_scend

This repo is the code for T-SCEND, a novel framework that significantly improves diffusion model’s reasoning capabilities with better energy-based training and scaling up test-time computation.

Language: Python - Size: 1.47 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 10 - Forks: 0

jlokitha/connect-4-game

A classic Connect Four game featuring two-player mode and an AI opponent powered by Monte Carlo Tree Search (MCTS), offering an exciting and strategic gameplay experience.

Language: Java - Size: 138 KB - Last synced at: 12 days ago - Pushed at: 4 months ago - Stars: 17 - Forks: 0

yangboz/godpaper

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

Language: HTML - Size: 65.1 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 48 - Forks: 18

brotSchimmelt/LLM-MCTS-Inference

An experimental project using MCTS to refine LLM responses for better accuracy and decision-making.

Language: Python - Size: 51.8 KB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

jdj2261/pytamp

Python robot's tamp library

Language: Python - Size: 47.9 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 20 - Forks: 1

0xNineteen/hyper-alpha-zero

hyper optimized alpha zero implementation to play gomoku (distributed training with ray, mcts with cython)

Language: Python - Size: 864 KB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0

HrushikeshBudhale/Alpha_Zero

AlphaZero and MonteCarlo Tree Search algorithms applied to game of TicTacToe and Connect4

Language: Python - Size: 9.52 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

coreylowman/synthesis

A rust implementation of AlphaZero algorithm

Language: Rust - Size: 976 KB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 47 - Forks: 6

meghashyamc/pong-with-mcts-and-ppo

Comparing the performance of an RL algorithm (PPO) with an algorithm that combines PPO and MCTS - in training an agent to play Simple/Complex pong games.

Language: Python - Size: 70.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

stylke/Nogo

基于qt开发的不围棋小游戏

Language: C++ - Size: 1.36 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

Manohara-Ai/Project_Mahoraga

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

Language: Python - Size: 10.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

manyoso/allie

Allie: A UCI compliant chess engine

Language: C++ - Size: 700 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 105 - Forks: 21

masterai-top/The-strongest-AI-in-Texas-Hold-em-MasterAI-1.0-1vs1-Extreme

德州AI,德州1对1的AI;MasterAI decisively defeated 14 top human Texas hold'em poker professsionals in September 2020.。MasterAI 是Master团队在非完美信息博弈中实现的的一种扑克AI,在德州扑克一对一的有限押注已经取得成果,MasterAI于2020年9月战胜了中国的14位顶级扑克职业选手

Language: C++ - Size: 35.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 19 - Forks: 6

masterai-top/The-strongest-AI-in-Texas-Hold-em-1-to-1

德州AI,MasterAI is an AI poker dedicated to suport n-play (single- or multi-agent) Texas Hold'em imperfect-informatin games.。MasterAI v2.0是从MasterAI v1.0衍生出来的迭代算法,它在非完全信息游戏中利用了通用的强化学习+搜索,并在一对一无限押注的德州扑克中实现了超人的表现。AI源码出售。Tg:@xuzongbin001;E-mail:[email protected]

Language: C++ - Size: 3.72 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 36 - Forks: 9

puyuan1996/rl_mcts_intro

强化学习 (RL) 与蒙特卡洛树搜索 (MCTS) 相关学习资源

Size: 62.1 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

patrik-ha/explainable-minichess

Chess environment for smaller chess variants, AlphaZero-like MCTS-learning, and Concept Detection

Language: PureBasic - Size: 41.2 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 15 - Forks: 5

snowfrogdev/macao

A general purpose game playing A.I. framework based on the Monte Carlo tree search algorithm.

Language: TypeScript - Size: 2.53 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 4

lowrollr/turbozero_torch

fast + parallel AlphaZero in PyTorch

Language: Jupyter Notebook - Size: 28 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 4

pyrddlgym-project/pyRDDLGym-prost

Docker files for connecting the PROST planner with pyRDDLGym.

Language: Dockerfile - Size: 30.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

syarig/Cygo

Cygo is Go AI has feature of like AlphaGo Fan

Language: C++ - Size: 20.2 MB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 0

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: Python - Size: 695 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 65 - Forks: 9

PaytonWebber/mcts-python

This repository provides an implementation of the Monte Carlo Tree Search (MCTS) algorithm in Python. MCTS is widely used for making decisions in games and other applications where exploring possible future states is essential.

Language: Python - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

markusbegerow/wp-adv-quiz

WordPress WP-Adv-Quiz Plugin (Official)

Language: PHP - Size: 697 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

kobanium/TamaGo

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

Language: Python - Size: 2.61 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 61 - Forks: 11

jdermont/YaPaperSoccer

A single player source code for Ya Paper Soccer - paper soccer for Android.

Language: C++ - Size: 57.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 2

Vast342/Anura

UCI MCTS Chess Engine

Language: Rust - Size: 9.93 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

bansal-yash/COL333-Artificial-Intelligence

Course assignments of COL333 :- Artificial Intelligence course at IIT Delhi under Professor Rohan Paul

Language: Python - Size: 55.8 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

bullno1/monte

Abandon learning, return to monte

Language: C - Size: 16.6 KB - Last synced at: 1 day ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

srefsland/deep-rl-mcts

On-policy MCTS combined with deep learning to train an actor-critic neural network that plays Hex (Con-tac-tix).

Language: Python - Size: 5.39 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

91d906h4/H-Go

🤖 A Go AI build with PyTorch.

Language: Python - Size: 298 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Assaf-Alon/pvz_ai_project

MCTS implementation that plays Plants vs. Zombies in C++

Language: Python - Size: 44.5 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

LOGO-CUHKSZ/rethink_mcts_tsp

Python wrapper for the MCTS TSP solver

Size: 96.7 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

TimeLordRaps/MCSTS-Q-Splay-Trees

Monte-Carlo Splay Tree Search with Q-Learning for optimal splay operations and caching in Splay Trees

Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 1

hrpan/tetris_mcts 📦

MCTS project for Tetris

Language: Python - Size: 9.73 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 342 - Forks: 34

antande/King-of-the-Hill-chess-engine

Competitive chess engine for the chess variant king of the hill

Language: Python - Size: 86.9 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

PaytonWebber/mcts-rs

A Rust implementation of the Monte Carlo Tree Search (MCTS) algorithm, utilizing an arena allocator for efficient memory management.

Language: Rust - Size: 29.3 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

mrodz/fieldz-desktop

Sports Scheduling & Administration Solution

Language: Rust - Size: 1.89 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

YK-YoungK/ML_proj_KissingNumber

Towards Solving Kissing Number Problem with Reinforcement Learning and MCTS. Term project for Machine Learning course in Peking University (2023 spring).

Language: Python - Size: 384 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

airaria/AlphaZero_Gomoku_WuZiQi

My implementation of AlphaZero for gomoku (Wu Zi Qi, 五子棋); Poorman's AlphaZero

Language: Python - Size: 10 MB - Last synced at: 14 days ago - Pushed at: about 7 years ago - Stars: 10 - Forks: 0

shehanrathnayake/implementation-of-monte-carlo-tree-search-algorithm-for-connect-4-game

In this project, my primary goal was to implement an AI player class powered by the Monte Carlo Tress Search algorithm which can play for a win as well as defend a defeat to compete with a Human player.

Language: Java - Size: 280 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

bellerb/chappie.ai

Generalized AI to perform a multitude of tasks written in python3

Language: Jupyter Notebook - Size: 406 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 6

ReconGit/go-othello-ai

MCTS and Minimax Alpha-beta pruning for Othello/Reversi in Golang with benchmark

Language: Go - Size: 53.7 KB - Last synced at: 30 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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: Python - Size: 124 KB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 88 - Forks: 28

CognitiveAISystems/mats-lp

[AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement learning for resolving conflicts.

Language: C++ - Size: 668 KB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

masonmcbride/mcts

The best mcts in the land. Still need to parallelize, make a C version, and btw it's not so trivial to make a smooth mcts. This mcts implementation has state space awareness and is memory efficient.

Language: Python - Size: 7.08 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

richemslie/McARGA

McARGA - ARC Challenge 2024

Language: Python - Size: 58.6 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

akuroiwa/chess-ant

Chess simulation with use of evolutional algorithms

Language: Python - Size: 310 KB - Last synced at: 21 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

baskuit/pinyon

Pinyon is a collection of algorithms and utilities for research in search/planning in simultaneous move games.

Language: C++ - Size: 5.8 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 5 - Forks: 0