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

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

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

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.

Solutions to Pacman AI Multi-Agent Search problems

Computer program that plays chess.

Artificial Intelligence + Deep Learning

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

An optimal Tic-Tac-Toe AI that uses the Minimax algorithm with alpha-beta pruning and depth-aware evaluation to select the best move for winning.

Monte Carlo Tree Search - A C++ MPI implementation

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

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.

Collection of Notebooks in Google Colab directly usable for study activities

A sophisticated AI-powered debate platform that integrates Large Language Models with Genetic Algorithms and Adversarial Search to create a dynamic and adaptive debating experience.

This github repository contains the official code for the papers, "Robustness Assessment for Adversarial Machine Learning: Problems, Solutions and a Survey of Current Neural Networks and Defenses" and "One Pixel Attack for Fooling Deep Neural Networks"

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.

Some Artificial Intelligence & Machine Learning algorithms

Create an agent to intelligently play the 2048-puzzle game

Artificial Intelligence Projects

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

A powerful Java framework to build zero-sum game AI engines. Includes ready-to-use search algorithms, UCI support, and tools that simplify complex engine development.

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

This repository is dedicated to the study and implementation of Artificial Intelligence Techniques (AIT). It covers core AI concepts such as problem-solving with search, uninformed and informed strategies, adversarial game playing, knowledge representation, and reasoning

My code and report of Udacity AI nanodegree project3 Adversarial Game Playing Agent

Learned both learning and problem solving to develop statistical models for real-world AI applications

The phase 2 of my AI project, which is adversarial search in Pacman game for reaching the best utility and avoiding ghosts. Minimax with alpha-beta pruning and Expectimax is implemented.