A PyTorch Toolbox for creating adversarial examples that fool neural networks.
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Updated
Aug 7, 2019 - Python
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.
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.
An AI Agent based on Alpha Beta Pruning for the Tic Tac Toe Game.
Create an agent to intelligently play the 2048-puzzle game
Artificial Intelligence Projects
Creating a player for the game of quarto based on GA, RL, MinMax and other strategies
Some Artificial Intelligence & Machine Learning algorithms
My code and report of Udacity AI nanodegree project3 Adversarial Game Playing Agent
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.
Search, Knowledge, Uncertainty, Optimization, Learning, Neural Networks and Language.
Repository for labs, exercices and notes from the course Computational Intelligence @ Politecnico of Turin
This repository contains Adversarial Search Agents implemented in Python.
Some classical Artificial Intelligence algorithms
Infexion v1.1 - for 2 players
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