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
Description: 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>
        
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
