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A browser-based Connect 4 game made with Phaser 3! https://iammanish17.github.io/Connect4/
JavaFX based Connect4 Game.
An asynchronous implementation of AlphaZero, a self-play reinforcement learning algorithm.
This repository was created for the Artificial Intelligence course instructed by Dr. Abdoos, held in spring 2023 at Shahid Beheshti University.
A connect 4 in python with tkinter
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.
Deep Reinforcement Learning algorithms to play Connect4 using a combination of Supervised Learning and Reinforcement Learning
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
🤖 Pretty perfect bot remembering only perfect moves for overcoming the perfect AI written by a perfect guy
Un portage en PHP du puissance 4 en C codé par un ami @LAVALLIERE sur https://github.com/LAVALLIERE/puissance4-c avec quelques goodies en plus.
connect4 game and ai player with text based user interface
Games that professor asked us to do. This pack has Tica Tac Toe, Connect 4, Hangman, Simon and Battleship
Little program for MCTS and alpha-beta-pruning that can play connect4 against each other.
Connect Four Game using Minimax with Alpha-Beta Pruning
Connect 4 game made in Swift and playable on the command line with several people or against more AIs with configurable difficulty.
2d command-line Connect4 game using C with AI feature
A program made to play a generalized version of connect 4 perfectly
Intelligent Agent to play Connect-4 with a modifiable depth aided with a decision tree visualizer to trace the agent's decision making process
Play Connect4 against an intelligent AI agent using Minimax Algorithm with and without Pruning
A Recurrent Approach to Connect 4.
Connect Four Game AI Implementation with Javascript, Using Minimax Algorithm and Alpha-Beta Pruning
Knowledge-based backtracking algorithm to win the game of connect 4. This work is based on the master thesis "A Knowledge-based Approach of Connect-Four" from Victor Allis back in 1988.
A GUI based connect 4 game that uses voice as input
Tic-Tac-Toe against AI using Minimax
A Java Connect 4 Game using Minimax and Alpha-Beta Pruning for Artificial Intelligence
This is a simple frontend Connect 4 game coded in javascript with react. You can test your skills against a bot implementing the minimax algorithm.
Connect 4 game using the minimax algorithm with its improved alpha beta prunning AI algorithm
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.
Implemented the Minimax algorithm with Alpha-Beta pruning for an AI player in Connect4
Perfect Connect 4 Solver for class CS 4701: AI Prac