rishabhgoel0213/ZeroClone

Language: Python - Size: 10.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

DidierFlamm/aigames

A Python framework to build solo or multiplayer perfect-information games, and design solvers or AI bots using algorithms like Backtracking, Pathfinding, Minimax, MCTS, or Neural Networks.

Language: Python - Size: 27.3 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - 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: 116 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1,386 - Forks: 155

google-deepmind/mctx

Monte Carlo tree search in JAX

Language: Python - Size: 477 KB - Last synced at: 7 days ago - Pushed at: 2 months ago - Stars: 2,493 - Forks: 204

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: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

codelion/optillm

Optimizing inference proxy for LLMs

Language: Python - Size: 1.88 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 2,469 - Forks: 185

MolecularAI/aizynthfinder

A tool for retrosynthetic planning

Language: Python - Size: 3.73 MB - Last synced at: 6 days ago - Pushed at: about 2 months ago - Stars: 673 - Forks: 143

Sashank576/Anytime-SH-Variations

Bachelor Thesis in Data Science and AI - My thesis aims to explore variations of the Anytime Sequential Halving algorithm. Specifically, I am looking at adjusting which nodes are pruned and the iteration budget given to them. Additionally, I am testing out different values of the exploration parameter in UCB1 to see how it affects the algorithm.

Language: Jupyter Notebook - Size: 26.6 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

PrismBench/PrismBench

PrismBench: A comprehensive framework for evaluating Large Language Model capabilities through Monte Carlo Tree Search. Systematically maps model strengths, automatically discovers challenging concept combinations, and provides detailed performance analysis with containerized deployment and OpenAI-compatible API support.

Language: Python - Size: 5.1 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

unitn-sml/recourse-fare

(Explainable) Algorithmic Recourse with Reinforcement Learning and MCTS (FARE and E-FARE)

Language: Python - Size: 1.86 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 3 - Forks: 0

namin/llm-verified-with-monte-carlo-tree-search

LLM verified with Monte Carlo Tree Search

Language: Jupyter Notebook - Size: 42.4 MB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 275 - Forks: 29

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: 19 days ago - Pushed at: about 1 year ago - Stars: 3,484 - Forks: 993

werner-duvaud/muzero-general

MuZero

Language: Python - Size: 7.09 MB - Last synced at: 19 days ago - Pushed at: 9 months ago - Stars: 2,644 - Forks: 647

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: 20 days ago - Pushed at: 5 months ago - Stars: 4,140 - Forks: 1,089

DroneDashServices/mcts-variant-prediction

Forecasting MCTS Variant Outcomes Across Board Games

Language: Jupyter Notebook - Size: 131 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

rlglab/optionzero

[ICLR 2025 Oral] OptionZero: A method for autonomously discovering and utilizing options in the MuZero algorithm

Language: C++ - Size: 2.67 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 14 - Forks: 0

shobrook/saplings

A library of reasoning algorithms for agents

Language: Python - Size: 9.5 MB - Last synced at: 18 days ago - Pushed at: 2 months ago - Stars: 249 - Forks: 15

krishnaura45/mcts-variant-prediction

Forecasting MCTS Variant Outcomes Across Board Games

Language: Jupyter Notebook - Size: 136 KB - Last synced at: 4 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

santinic/unvibe

Generate correct code from unit-tests

Language: Python - Size: 958 KB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 75 - Forks: 4

Sagebati/OxyMcts

Mcts library written in rust, for rust.

Language: Rust - Size: 72.3 KB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 3

Alexander-Nasuta/gymcts

A Monte Carlo Tree Search Implementation for Gymnasium-style Environments.

Language: Python - Size: 3.84 MB - Last synced at: 11 days ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

benedekrozemberczki/awesome-monte-carlo-tree-search-papers

A curated list of Monte Carlo tree search papers with implementations.

Language: Python - Size: 238 KB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 673 - Forks: 74

nyashiki/nshogi-engine

nshogi-engine: a USI shogi engine

Language: C++ - Size: 456 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 0

metareflection/synthesis-scheme

explorations of Scheme synthesis in Scheme

Language: Scheme - Size: 104 KB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

alexracape/blokus-engine

Adapting AlphaZero to play Blokus

Language: Rust - Size: 289 MB - Last synced at: 3 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

r2d2butbetter/A-MCTS

Our implementation of the paper A-MCTS: Adaptive Monte Carlo Tree Search for Temporal Path Discovery

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

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: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

LHRLAB/KBQA-o1

[ICML 2025] Official resources of "KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search".

Language: Python - Size: 17.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 20 - Forks: 0

ReconGit/py-othello-ai

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

Language: Python - Size: 55.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed at: about 2 months ago - Stars: 25 - Forks: 4

alostsock/craftingway

A ffxiv crafting tool

Language: TypeScript - Size: 13.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 22 - Forks: 5

lucaszhuang1210/Checkers-AI-Agent

AI agent for Checkers built using Monte Carlo Tree Search (MCTS), designed to make adaptive, time-efficient decisions in competitive gameplay. Developed from scratch with custom simulation logic, time management, and heuristic enhancements.

Language: Python - Size: 2.62 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: 17 days ago - Pushed at: about 2 months ago - Stars: 267 - Forks: 41

MichiganDataScienceTeam/W25-mini-alphago

Building an adapted AlphaGo for 9x9 Go from almost scratch

Language: Python - Size: 223 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 10 - Forks: 1

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: 7 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Weizhe-Chen/PyPolo

A Python library for Robotic Information Gathering

Language: Python - Size: 34.3 MB - Last synced at: 29 days ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 5

Heps-akint/Connect4_RLproject

Gaining a deep understanding of the history and development of reinforcement learning through creating a sophisticated Connect4 agent using techniques built upon over the years discussed by the 'Art of the Problem' youtube channel.

Language: Jupyter Notebook - Size: 38.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

utkuatasoy/Othello-Reversi-AI

This project presents an AI-driven Othello (Reversi) game designed to compare multiple algorithms, including Minimax, MCTS, A*, Q-Learning, and Negamax. It demonstrates various difficulty levels, which introduce controlled randomness to the AI for a more dynamic gameplay experience.

Language: Python - Size: 1010 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

RiccardoSpolaor/Verbal-Explanations-of-Spatio-Temporal-Graph-Neural-Networks-for-Traffic-Forecasting

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

Language: Jupyter Notebook - Size: 118 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 18 - Forks: 2

joansalasoler/engines

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

Size: 39.1 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

advait/c4a0

Alpha-Zero Connect Four NN trained via self play

Language: Rust - Size: 1.05 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 16 - Forks: 0

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。

Language: Python - Size: 30.1 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 45 - Forks: 7

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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

lowrollr/turbozero

fast + parallel AlphaZero in JAX

Language: Python - Size: 28.8 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 94 - Forks: 9

diditforlulz273/PokerRL-Omaha

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Language: Python - Size: 122 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 62 - Forks: 17

teodutu/IA

Inteligenta Artificiala - UPB 2020-2021

Language: Jupyter Notebook - Size: 20.6 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

mkschulz9/go-playing-agent

5x5 Go playing agent using Modified Monte Carlo Tree Search (MCTS) Algorithm.

Language: Python - Size: 66.4 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

igorpejic/visapi

Monte Carlo Tree Search on Perfect Rectangle Packing Problem Instances

Language: Jupyter Notebook - Size: 9.31 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 2

tueboesen/Boardgame_AI

A general framework made for training neural networks on boardgames.

Language: Python - Size: 5.65 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - 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: 38.1 KB - Last synced at: 27 days ago - Pushed at: 5 months ago - Stars: 10 - Forks: 2

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)

Language: TypeScript - Size: 8.06 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 40 - Forks: 6

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: 1 day ago - Pushed at: 3 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

RaoulLuque/connect-rust

Webserver for connect four with bruteforce and monte-carlo engines written completely in rust

Language: Rust - Size: 284 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 2 - 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: about 1 month ago - Pushed at: 5 months ago - Stars: 17 - Forks: 0

T-Lak/UltimateTicTacToe

Play Ultimate Tic-Tac-Toe against an AI agent. The project utilizes Monte Carlo Tree Search (MCTS).

Language: Java - Size: 18.6 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

haoxiang-xu/connect-X

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.

Language: Jupyter Notebook - Size: 39.5 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Ray7788/Hex-Ultra

An AlphaZero-based agent for Hex chess

Language: Python - Size: 16.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

netcan/AnimalChess

Animal Fight Chess Game（斗兽棋） written in rust.

Language: Rust - Size: 2 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 95 - Forks: 12

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

williamcorsel/hexai

MiniMax with Alpha-Beta pruning and Monte-Carlo Tree Search implementations for the board game Hex

Language: Python - Size: 30.3 KB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 0

ziap/uttt

A high performance Ultimate Tic-Tac-Toe engine in the browser

Language: C - Size: 201 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

mklblm/VU-Multi-agent-Systems

From-scratch implementations of Monte Carlo Tree Search and the Actor-Critic Advantage Framework for the Multi-Agent Systems course at Vrije Universiteit Amsterdam in 2024-2025

Language: Jupyter Notebook - Size: 9.09 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

leonardocrociani/MCTS-Pokemon-Battle-Policy

A heuristic guided, MCTS Pokemon Battle Policy interacting with an AI VGC Framework https://gitlab.com/DracoStriker/pokemon-vgc-engine

Language: Jupyter Notebook - Size: 123 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

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: 4 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 0

Ripan-Roy/MCTS-Chain-of-Thought

This project shows the implementation of Monte Carlo Tree Search with a large language model to generate and evaluate reasoning chains or chain of thoughts for advanced problem-solving.

Language: Python - Size: 32.2 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

ThiagoFBastos/SOS-Board-Game

SOS board game em C++ (Gtkmm3.0)

Language: C++ - Size: 15.3 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

regexident/Strategist

Algorithms for building strong immutable AIs for round-based games.

Language: Swift - Size: 287 KB - Last synced at: 9 days ago - Pushed at: about 5 years ago - Stars: 38 - Forks: 6

iamrajhans/mcts

monte carlo tree search implementation in python

Language: Python - Size: 6.84 KB - Last synced at: 6 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

morinim/documents

A repository of various articles, posts, papers and code snippets

Language: Jupyter Notebook - Size: 11.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

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: 31 minutes ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 4

thomasahle/mcts-2048

A Monte Carlo Tree Search AI for the game 2048

Language: Java - Size: 43 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 30 - Forks: 4

lowrollr/turbozero_torch

fast + parallel AlphaZero in PyTorch

Language: Jupyter Notebook - Size: 28 MB - Last synced at: about 2 months 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: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

tsudalab/MCTS-RNA

MCTS-RNA is a computational tool for solving RNA inverse folding problem with controlling the GC-content of the RNA sequence very precisely.

Language: Python - Size: 34.2 KB - Last synced at: 25 days ago - Pushed at: about 8 years ago - Stars: 11 - Forks: 5

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: 5 months ago - Pushed at: over 1 year ago - Stars: 65 - Forks: 9

AHedya/DominoesAI

Python-based project implements the classic domino game, equipped with an AI opponent.

Language: Python - Size: 87.9 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

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: 2 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

lizamozy/Commercial-Flight-Landing-Deconfliction

A program that models the decisions that air traffic controllers make using a Monte Carlo Tree Search. Built as a Final project for the class at GWU CSCI 4511: Intro to AI in collaboration with two of my classmates.

Language: Python - Size: 8.79 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

TAOGenna/Connect4-MonteCarlo

A Monte Carlo Tree Search based bot for the game of Connect4

Language: Python - Size: 1.09 MB - Last synced at: 6 months ago - Pushed at: 6 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: 6 months ago - Pushed at: 6 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: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 2

WWW0828/cs259-final-project

HLS Design Space Exploration with RL+MCTS

Language: LLVM - Size: 43.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

jbradberry/mcts

Board game AI implementations using Monte Carlo Tree Search

Language: Python - Size: 26.4 KB - Last synced at: 2 months ago - Pushed at: about 5 years ago - Stars: 183 - Forks: 34

xpmatteo/auto-cca

Experimental AI to play the Commands & Colors boardgame

Language: JavaScript - Size: 5.33 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 6 - Forks: 0

plss12/pyplAI

Biblioteca para Python con algoritmos de resolución de juegos de mesa (minimax, MCTS, SO-ISMCTS y MO-ISMCTS)

Language: Python - Size: 4.41 MB - Last synced at: about 2 months ago - Pushed at: 9 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: 6 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: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

dleedev365/AI-Tic-Tac-Toe-pMCTS

[CMPT 310: Artificial Intelligence Survey] A console game that allows a human player to play against a computer whose decisions are based on pure Monte Carlo Tree Search algorithm

Language: Python - Size: 356 KB - Last synced at: 4 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

jjalcaraz-upct/mbrl-route

Reinforcement learning algorithm for making decisions in long distance routes regarding the duration of driving and rest periods.

Language: Python - Size: 1.98 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 1

UE2020/DivineNN

A deep-learning chess engine written in Rust, partially compliant with the UCI protocol. DivineNN uses the Monte Carlo Tree Search (MCTS) algorithm to enhance the neural network policy using the neural network's value output.

Language: Rust - Size: 3.36 MB - Last synced at: 24 days ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

liuzihe02/mcts

A lightweight Monte Carlo Tree Search implementation for 2 player games

Language: Python - Size: 1.35 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

liuzihe02/microMCTS

A minimal implementation of Monte Carlo Tree Search

Language: Python - Size: 4.88 KB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

EstevesX10/AI-Connect-Four

Connect Four [Artificial Intelligence Course Project]

Language: Jupyter Notebook - Size: 5.26 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

Animesh-Chourey/Pommerman-Agent-Customized

Modified the Monte Carlo Tree Search algorithm by introducing progressive bias to refine the selection process on Pommerman game setup.

Language: Java - Size: 481 KB - Last synced at: 3 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

JJ-Kira/iReversi

Language: Swift - Size: 674 KB - Last synced at: 25 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

LeeYuJoung/GameAI_Algorithm

GameAI with C++

Language: C++ - Size: 16.4 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

shreyan241/RL_rubiks_visualizer

Deep Reinforcement Learning Rubiks Cube Visualizer and Solver

Language: Python - Size: 67.1 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

malaikasattar864/connect-four

The game we chose is Connect-Four. Connect Four is a two-player, abstract strategy game that is played on a grid. The objective of the game is to be the first player to connect four of their own discs in a row, either horizontally, vertically, or diagonally, within the grid.

Language: Python - Size: 28.3 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

tyler-romero/frankie-ggp Fork of hardiecate/ggp-base

MCTS for general game playing

Language: Java - Size: 64.4 MB - Last synced at: 7 months ago - Pushed at: almost 8 years ago - Stars: 0 - Forks: 0