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arXiv · 2009.09341

Multiplayer Support for the Arcade Learning Environment

J. K. Terry·Benjamin Black·Luis Santos
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Abstract

The Arcade Learning Environment ("ALE") is a widely used library in the reinforcement learning community that allows easy programmatic interfacing with Atari 2600 games, via the Stella emulator. We introduce a publicly available extension to the ALE that extends its support to multiplayer games and game modes. This interface is additionally integrated with PettingZoo to allow for a simple Gym-like interface in Python to interact with these games. We additionally introduce experimental baselines for all environments included.

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BibTeXRIS

J. K. Terry, Benjamin Black, Luis Santos. 2020-09-20. Multiplayer Support for the Arcade Learning Environment. https://arxiv.org/abs/2009.09341

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