Coursework for CSCI 561: Artificial Intelligence at USC 🤖
-
Updated
Aug 7, 2018 - Java
Coursework for CSCI 561: Artificial Intelligence at USC 🤖
MinMax AI with Alpha-beta pruning for Othello board game
A project for the requirements of CS Intelligent Systems that lets a human play against an AI in Checkers. The agent uses Game Trees through Min/Max and Alpha-Beta Pruning.
Completed
Basic chess game, with the option to use a server or play against an AI(unfortunately the AI is an idiot)
Implementation of a min max algorithm in a bot that competes in the ultimate tic-tac-toe competition on theaigames.com
AI : Implementing algorithms for adversarial search strategies Min-Max and Alpha-Beta
Project in the ‘Data Structures’ Course of the Department of Electrical and Computer Engineering.
[ENSSAT-Project] Alpha-Beta AI that play tic tac toe.
Connect 4 game
Tic Tac Toe with a simple Artificial Intelligence based on the MiniMax algorithm, optimized with Alpha-Beta pruning.
A tic tac toe game with a minmax algorithm implementation.
This repository is to implement Othello board game allowing a player to play against AI Bot.
This is a java OOP of mastermind game and also includes an AI that use Knuth Algorithm to guess the code
USC 2021 Spring CSCI 561 Artificial Intelligence Score: A-
JavaFX GUI based TicTacToe with a AI MinMax opponent
Implementación del juego de Gato, Tres en raya o Tic tac toe en Java. Creado en 2009.
Univeristy projects
Unbeatable TicTacToe Game implemented using Min-Max algorithm from game theory using Java and Swing
Add a description, image, and links to the minmax-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the minmax-algorithm topic, visit your repo's landing page and select "manage topics."