Artificial Intelligence projects at University of Tehran; Fall01
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Updated
Feb 7, 2023 - HTML
Artificial Intelligence projects at University of Tehran; Fall01
This is a fully fledged 2 or 1 player tic-tac-toe game written in TypeScript, HTML and SCSS using Ionic Framework which uses minimax algorithm with alpha beta pruning for Player vs Computer mode. It can be exported to Android, iOS, Windows, PWA or a website.
BFS, IDS, A*, Genetic algorithm for math equality, Minimax for Sim game, Naive Bayes for news classification, Machine Learning and Neural Networks.
An implementation of Minimax, Alpha-Beta and Monte-Carlo Tree Search to play Connect 4
Artificial Intelligence Course Projects, University of Tehran
dichotomy minimization method
This repository contains all artificial intelligence course projects.
This project implements an AI to play Tic-Tac-Toe optimally using the Minimax algorithm.
Juego Tic Tac Toe implementado como aplicación de escritorio, desarrollado en Java, utilizando el algoritmo MiniMax
Java Minimax TicTacToe: this module contains unbeatable tictactoe implementation with minimax ai
🎯 Simple game with advanced features & AI options (React)
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