A Gomoku game GUI, with an AI player powered by alphabeta-minimax search

AI五子棋c++实现，依赖raylib和raygui库，alpha-beta剪枝算法

Baghchal implementation in Python

Command line chess program written in Ruby

A Parallel AI Chess Game from Level 1 to Level 10 made with Java Swing

A program for playing chess vs the custom built engine built in Java. Interface built in JavaFX

🎲 This is a Lines Of Action game BOT, using alphabeta minimax search, singular extensions, forward pruning techniques and more..

TicTacToe is a mini project developed to implement MiniMax and MiniMax with alpha-beta pruning to decide wich action the computer has to perform.

Generalization of Tic-Tac-Toe game and a solver based on the Minimax Algorithm and Alpha-Beta pruning.

Othello Game (Also known as Reversi). It was created with the Minimax algorithm (Alpha-Beta pruning). Allows Human-AI, AI-AI, RandomPlayer-AI, RandomPlayer-Human interplay

Chess game implemented using game theory and alpha beta pruning. All the logics of the chess moves, alpha beta pruning are implemented correctly. But it throws exception when it is run. It was my AI assignment I was not able to resolve this due to shortage of time and submitted as it is.

This project is part of academic activities, in the Systems Analysis and Development undergraduate course.

Othello is a strategy board game created in 1971 based on Reversi game. This game is an ai-ai battle only (alphabeta or negamax algorithm)

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

Server to play with the Reversi AI https://github.com/marcluque/Reversi-AI

Mancala Game Playing AI

Automatic Pacman Game using AI algorithms, major code in multiAgents.py