论文标题
多人游戏对街机学习环境的支持
Multiplayer Support for the Arcade Learning Environment
论文作者
论文摘要
街机学习环境（“ ALE”）是强化学习社区中广泛使用的图书馆，可以通过Stella模拟器轻松与Atari 2600游戏进行程序化接口。我们向啤酒引入了公开可用的扩展，将其支持扩展到多人游戏和游戏模式。该界面还与Pettingzoo集成在一起，以允许在Python中使用简单的健身房界面与这些游戏进行互动。我们还针对所包括的所有环境引入实验基线。
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.
