Metadata-Version: 2.1
Name: AutoROM
Version: 0.2.0
Summary: Automated installation of Atari ROMs for Gym/ALE-Py
Home-page: https://github.com/PettingZoo-Team/AutoROM
Author: PettingZoo Team
Author-email: justinkterry@gmail.com
License: UNKNOWN
Description: # AutoROM
        
        [![Build Status](https://travis-ci.com/PettingZoo-Team/AutoROM.svg?branch=master)](https://travis-ci.com/PettingZoo-Team/AutoROM)
        
        This package automaticaly installs Atari ROM files for Atari-Py (which Gym Depends on), multi-agent-ALE (which PettingZoo depends on), and ALE-Py (which will replaced multi-agent-ALE and Atari-Py in the future).
        
        AutoROM automatically downloads the needed Atari ROMs from ROM hosting websites into the ALE-Py folder and Multi-Agent-ALE-py folder in a very simple manner:
        
        ```
        pip3 install autorom
        AutoROM
        ```
        
        To specify a specific installation directory for your ROMs, use the `--dir` or `d` command line argument.
        ```
        AutoROM -d "/path/to/install"
        ```
        This will install ROMs at "/path/to/install/ROM/".
        
        If you want to cite this repo for some reason, the bibtex is:
        
        ```
        @misc{autorom2020,
          author = {Terry, Justin K and Jayakumar, Mario and Black, Benjamin},
          title = {AutoROM},
          year = {2020},
          publisher = {GitHub},
          note = {GitHub repository},
          howpublished = {\url{https://github.com/PettingZoo-Team/AutoROM}}
        }
        ```
        
Keywords: Reinforcement Learning,game,RL,AI,gym
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
