A browser-based Connect 4 game made with Phaser 3! https://iammanish17.github.io/Connect4/

JavaFX based Connect4 Game.

This repository was created for the Artificial Intelligence course instructed by Dr. Abdoos, held in spring 2023 at Shahid Beheshti University.

An asynchronous implementation of AlphaZero, a self-play reinforcement learning algorithm.

The Connect 4 CLI program with AI implementing alpha-beta pruning I made for fun! There is Human vs Human, Human vs AI, AI vs AI git branches

First project for the ‘Fundamentals of Artificial Intelligence’ course. Created AI engine based on MinMax algorithm to play Connect Four game. Type of each player (human/AI) and AI parameters (depth of MinMax tree, enabling alpha-beta pruning) can be set, so it is possible to run AI vs AI game with different parameters.

A connect 4 in python with tkinter

🤖 Pretty perfect bot remembering only perfect moves for overcoming the perfect AI written by a perfect guy

Building AI using MiniMax Algorithm.

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

Games that professor asked us to do. This pack has Tica Tac Toe, Connect 4, Hangman, Simon and Battleship

Intelligent Agent to play Connect-4 with a modifiable depth aided with a decision tree visualizer to trace the agent's decision making process

Little program for MCTS and alpha-beta-pruning that can play connect4 against each other.

Connect 4 Game in c#

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.

A program made to play a generalized version of connect 4 perfectly

2d command-line Connect4 game using C with AI feature

Play Connect4 against an intelligent AI agent using Minimax Algorithm with and without Pruning

connect4 game and ai player with text based user interface