adversarial-search

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 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.

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

Autonomous Agent Minimax Adversarial Decision Search Engine with Alpha-Beta Pruning

Computer program that plays chess.

Solutions to Pacman AI Multi-Agent Search problems

Artificial Intelligence + Deep Learning

Autonomous Agent Minimax Adversarial Decision Search Engine with Alpha-Beta Pruning

AI Final Project implementing fundamental Artificial Intelligence search techniques, including Local Search, Adversarial Search, Minimax, Constraint Satisfaction, and Information Search using Python.

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.

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

Monte Carlo Tree Search - A C++ MPI implementation

A highly modular Object-Oriented AI framework and interactive lab implemented in Python. Features automated benchmarking, pluggable solver engines, and interactive Pygame visualizers for Search, CSPs, Optimization, and Adversarial Games.

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