Metadata-Version: 2.1
Name: gym-cap32v2
Version: 1.0.0
Summary: A package that can be used to make an AI learn from Amstrad CPC games.
Home-page: https://github.com/pypa/sampleproject
Author: Augeard
Author-email: augeardw@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

OpenAI Gym Envs
===============

`OpenAI Gym's documentation <https://github.com/openai/gym/blob/master/docs/creating-environments.md>`_

Installation
------------

First install OpenAI Gym :

.. code-block:: console

    $ pip3 install --no-cache-dir --upgrade gym

Then install the AmLE :

.. code-block:: console

    $ pip3 install --no-cache-dir --upgrade amle-py

Finally instal the amle environment for OpenAi Gym :

.. code-block:: console

    $ pip3 install --no-cache-dir --upgrade gym-cap32

Examples
--------

You can run two different examples with the two given games. To run them make sure to have installed everything required above. Then in Examples/ :

.. code-block:: console

    $ python3 <example-file>


