Project for the Computational Intelligence course 23/24 - Politecnico di Torino
This repository showcases a project where the NEAT algorithm, which dynamically evolves neural networks by adjusting both their architecture and weights, is applied to develop an advanced game-playing agent. The project demonstrates NEAT's capability to create optimized strategies for complex gameplay scenarios.
This repository develops an AlphaZero-inspired agent for Quixo, leveraging deep learning and Monte Carlo Tree Search (MCTS) for strategy enhancement. It emphasizes self-play, dynamic data management, and exploration-exploitation balance in MCTS, aiming for peak performance in Quixo.
Material, laboratories and project related to "Computational Intelligence" course of A.Y. 2023/2024 at PoliTO
Project for the Computational Intelligence course 23/24 - Politecnico di Torino
Computational Intelligence @ Polito - Project Assignment
Implementation of Quixo in python
Implémentation en C du jeu de plateau Quixo. Quixo est un jeu de pions abstrait dérivé du "Tic-Tac-Toc" (jeu d'alignement). Le matériel se compose d'un plateau et de 25 cubes.
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