Multiplayer Support for the Arcade Learning Environment

2020-09-20 · Justin K. Terry, Benjamin Black, Luis Santos

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.

📄 PDF Abstract BibTeX arXiv:2009.09341

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Atari Games reinforcement-learning Reinforcement Learning (RL)

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