A Library for Machine Learning and Reinforcement Learning

This library provides tools for solving games using machine learning and reinforcement learning techniques.

Currently, it includes:

• an implementation of the AlphaZero algorithm;

• several example games and a game runner for evaluation and manual testing;

• a flexible game framework that allows the development of new games, policies, and AlphaZero-based models.

Contents:

• Quick Start Guide
• Tutorials
• Architecture Overview
• Oracle
• Policy
• Game
• Game runner
• Alpha Zero runner
• Development guide
• Limitations
• Release notes
• References