A PyTorch Toolbox for creating adversarial examples that fool neural networks.

Code for the paper "Skynet: A Top Deep RL Agent in the Inaugural Pommerman Team Competition"

Multiplayer snake AI

Automated Testing Framework for CARLA Simulator [ITSC 2022]

Halma game with an AI player, move validation, and dynamic board sizing

This is a AI bot for Chain Reaction game using minimax algorithm with alpha-beta pruning ang killer move heuristic.

Artificial Intelligence + Deep Learning

🤖 Chess AI using the minimax algorithm with alpha-beta pruning.

Computer program that plays chess.

This repository contains projects and exercises developed during the Artificial Intelligence course at UNAM. It covers topics such as fuzzy logic, adversarial search algorithms, intelligent agents, and more.

Monte Carlo Tree Search - A C++ MPI implementation

Solutions to Pacman AI Multi-Agent Search problems

In this project, you will design agents for the classic version of Pacman, including ghosts. Along the way, you will implement both minimax and expectimax search and try your hand at evaluation function design.

Solutions to practical assignments of Artificial Intelligence course (CE-417) at Sharif University of Technology

An AI Agent based on Alpha Beta Pruning for the Tic Tac Toe Game.

Creating a player for the game of quarto based on GA, RL, MinMax and other strategies

Create an agent to intelligently play the 2048-puzzle game

The game Mastermind implemented in Rust, with optimal algorithms to play the game.

This repo contains all the projects developed during my AIND journey.

Making An A.I System For Tic Tac Toe. This Was Implementing A Mini-Max Algorithm As Part Of A Game Theory Project. Implemented Using C++ As The BackEnd Logic And Qt And QML For Front-End GUI Logic.