A rust implementation of AlphaZero algorithm

Solving board games like Connect4 using Deep Reinforcement Learning

My Simple Implementation of AlphaGo Zero on Connect4

AI for the game "Connect Four". Available on PyPI.

Connect 4 game with online multiplayer

Representation of the game Connect 4 - Basic Project

JavaFX based Connect4 Game.

Connect 4 Game made in C# Winforms / windows forms app (csharp) ,Connect Four

Connect 4 game with AI, written in Python

Connect4 online game using Unity, Node, and MongoDB

A simple server side implementation of Connect4 and state of game is persisted in database. It is a two player game.

Connect 4 game built in Node.js, Socket.io, and Javascript. Includes a bot, and a two player mode.

The Connect4 Unity project aims to make the game's AI, Marlin, accessible to devices with low processing power, such as mobile phones, tablets, and smart TVs.

Connect 4 game in python with render option in pygame

Connect-N Game UI (Godot) and C# Lib / AI Tools

A game server for educational use, to implement a web based four in a row game

Deep Reinforcement Learning algorithms to play Connect4 using a combination of Supervised Learning and Reinforcement Learning

Development of Connect 4 / 4 in a row game in Ruby as part of the IT 305 Programming Languages course, with properties and functionalities that can be found in the README.txt

Small Kotlin example of a console 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.