Visualization of MCTS algorithm applied to Tic-tac-toe.
-
Updated
Aug 25, 2021 - JavaScript
Visualization of MCTS algorithm applied to Tic-tac-toe.
Quoridor AI based on Monte Carlo tree search
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)
Alquerque - a 2 player abstract strategic perfect information traditional board game with computer AI option.
3 dimensional Four in a Row game with computer AI using Monte Carlo Tree Search (MCTS) with UCB (Upper Confidence Bounds) applied to trees (UCT in short).
This repository contains a modern Tetris game built with vanilla JavaScript, HTML5 Canvas, and CSS3. You can easily clone it and play the game on both desktop and mobile devices.
An integrated example of front-end and back-end for a Gomoku game Wu Zi Qi Qian Hou Duan Ji Cheng Shi Li
AI Chess Bot built from machine learning and reinforcement learning through neural networks and MCTS (Monte Carlo Tree Search) for ChessHacks Hackathon, November 14 - 16, 2025.
Covalent inference for Node.js
A modern web-based implementation of the classic board game Othello. Play against advanced AI opponents, challenge friends in real-time multiplayer mode, and track your performance with detailed statistics.
AI agent for Xiangqi (Chinese Chess) with multiple strategies: MCTS, TD learning, Alpha-Beta pruning, and Greedy search. Web UI built with Angular and Node.js.
Add a description, image, and links to the mcts topic page so that developers can more easily learn about it.
To associate your repository with the mcts topic, visit your repo's landing page and select "manage topics."