Quoridor AI based on Monte Carlo tree search

A 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)

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)

A board game framework, focused not on graphics or user interfaces, but on artificial players design, implementation and testing.

Experimental AI to play the Commands & Colors boardgame

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).

Alquerque - a 2 player abstract strategic perfect information traditional board game with computer AI option.

Monte Carlo Tree Search-powered implementation of 2048 game, that plays the game autonomously, aiming to achieve the highest score.

Gobang game and AI implemented with monte carlo tree search in javascript

Super Tic-Tac-Toe: web interface and Monte Carlo tree search (MCTS) algorithm

Web application to play Tic Tac Toe against AI players.

Tic Tac Toe game with AI opponent built with JavaScript and use Monte Carlo Tree Search

"AI" Tic Tac Toe game using Monte Carlo tree search

Checkers-AI is a repository that implements the game of checkers with a focus on artificial intelligence. The repository includes an interactive user interface built with HTML, CSS, and JavaScript that allows users to play against the computer using different AI algorithms.