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arxiv: 2009.09341 · v2 · pith:VLE24RQ6new · submitted 2020-09-20 · 💻 cs.LG · cs.AI

Multiplayer Support for the Arcade Learning Environment

J. K. Terry , Benjamin Black , Luis Santos This is my paper
classification 💻 cs.LG cs.AI
keywords gameslearningadditionallyarcadeenvironmentinterfaceintroducemultiplayer
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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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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Gymnasium: A Standard Interface for Reinforcement Learning Environments

    cs.LG 2024-07 accept novelty 5.0

    Gymnasium establishes a standardized API for RL environments to improve interoperability, reproducibility, and ease of development in reinforcement learning.