La nostra soluzione per la Tablut Challenge 2022 ♟️ (Fondamenti di Intelligenza Artificiale M)
This is a fully fledged 2 or 1 player tic-tac-toe game written in TypeScript using Ionic Framework.
An implementation of Minimax, Alpha-Beta and Monte-Carlo Tree Search to play Connect 4
Kotlin AI for the Softwarechallenge 2018 featuring the game "Hase und Igel"
A lightweight implementation of Dr. Fill
♟️ Athena is a Python-based chess engine using negamax algorithm with alpha-beta pruning, piece-square tables, Simplified Evaluation Function and move ordering♟️
Portfolio of AI projects developed during my Udacity AI Nanodegree, covering Planning AI, Constraint Satisfaction, Hidden Markov Models, and Search algorithms.
A simple and intuitive Chess AI in Python.
GETVar 🧬👨🏻💻 [DO NOT USE THIS VERSION
An AI game agent that uses minimax and alpha-beta pruning to serach what the next best move of the game is.
AI-lab assignments
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