Coursework for CSCI 561: Artificial Intelligence at USC 🤖
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Updated
Aug 7, 2018 - Java
Coursework for CSCI 561: Artificial Intelligence at USC 🤖
Queah game with react and express, cpu-bound server.
Artificial Intelligence, Fall 2019, University of Tehran
Showcasing AI implementation for a basic game, and web programming.
A simple console-based Connect Four game done as a winter holiday project
An AI based Tic Tac Toe game built with React JS.
Connect 4 game against AI agent using MinMax algrorithm and pyqt5 GUI framework
Implementing a Tic-Tac-Toe AI using Python, leveraging the Minimax algorithm with Alpha-Beta pruning for optimal decision-making. Features include parallelization for performance and heuristic evaluation. Play against the AI in a console-based game, exploring strategies and performance optimizations in game theory.
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
A tic tac toe game simulator in terminal built on c++ that comprises a MinMax algorithm as an intelligent player.
Implemented Min-max algorithm to assist the AI agent to make its next move in Chess
Tic tac toe implementation with an AI.
The AI Challenge is all about creating artificial intelligence bot that controls a colony of ants which fight against other colonies for domination in a competitive tournament.
A .NET Othello game.
A terminal based Tic-Tac-Toe game that allows the user to battle against 3 engines of varying difficulty as well as play another human
This is a Tic_Tac_Toe game engine.
C++ implementation of MinMax algorithm that solves TicTacToe
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