An unbeatable game of Tic Tac Toe.
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Updated
Mar 15, 2017 - Java
An unbeatable game of Tic Tac Toe.
Artificial Intelligence for the game Go-Moku using the Minimax Algorithm with Alpha-Beta Pruning
An advanced AI to play the 2-player board game Othello
A Java Project which implements playing chess with the computer which uses Alpha-Beta Pruning.
Tests Minimax, Alpha-beta strategies in a (Comp vs. Comp) board game.
Gomoku Battle is a cross-language cross-system battle platform.
This is a AI bot for Chain Reaction game using minimax algorithm with alpha-beta pruning ang killer move heuristic.
24-bit ANSI colored, console-based chess engine using Java. Optional multi-threaded AI using Minimax with alpha-beta pruning. Fully configurable properties including: ply depth, thread pool size, optional AI time limit, all colors, and more.
Chineese-checker game by minmax algorithm and alpha beta algorithm
This is an interactive 4×4 Tic-Tac-Toe game with different levels for a person to play against a computer. [NYU CS-GY 6613/Artificial Intelligence]
Checkers playing agent. The agent uses the Minimax algorithm with alpha beta pruning for playing the next move.
A UCI chess engine written in Java.
A Gomoku-Playing AI. Using Minimax search with Alpha-Beta pruning.
4x4x4 Single player Game | JAVA | Artificial Intelligence | Minimax Search | Alpha-Beta Pruning | Heuristics
Connect4 game with AI
Tic Tac Toe game in both python and java with Artificial Intelligence for second player using alpha-beta pruning for MiniMax algorithm.
Quoridor is a 2 or 4 players board game whose board is 9x9. The objective is to be the first player to move their pawn to the opposite side of the game board from which it begins.
A State Space Search Vacuum Cleaner
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