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 A Library for Machine Learning and Reinforcement Learning
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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.

.. toctree::
   :maxdepth: 1
   :caption: Contents:

   quick_start.rst
   tutorials.rst
   architecture.rst
   oracles.rst
   policies.rst
   games.rst
   game_runner.rst
   alpha_zero_runner.rst
   development.rst
   limitations.rst
   release_notes.rst
   references.rst