Topic: "montecarlo-tree-search"
Parabul/Reinforce4J
Reinforce4j is a Java library designed for implementing reinforcement learning algorithms, with a primary focus on Monte Carlo Tree Search (MCTS). It provides tools and frameworks for building agents that can learn to play games, demonstrated with examples like Tic-Tac-Toe and Connect 4. The library supports integration with machine learning models
Language: Java - Size: 2.8 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0
LeeYuJoung/OmokGo
Unity2D_대전 전략 오목 게임
Language: C# - Size: 9.33 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
Adversing/mcts.kt
A chess-based kotlin implementation of the Monte Carlo Tree Search
Language: Kotlin - Size: 6.84 KB - Last synced at: 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Tristan-Amadei/TicTacToe-MCTS
Monte-Carlo Tree Search applied to the Tic-Tac-Toe game.
Language: Python - Size: 3.41 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
ExalFabu/ci-quixo
Computational Intelligence @ Polito - Project Assignment
Language: Python - Size: 3.12 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
