GitHub / Aleedm / AlphaZero-Quixo
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.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Aleedm%2FAlphaZero-Quixo
PURL: pkg:github/Aleedm/AlphaZero-Quixo
Stars: 0
Forks: 0
Open issues: 0
License: mit
Language: Python
Size: 33.2 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: over 1 year ago
Pushed at: over 1 year ago
Last synced at: 6 months ago
Topics: alphazero-inspired, monte-carlo-tree-search, quixo, reinforcement-learning