2019

Arena: A General Evaluation Platform and Building Toolkit for Multi-Agent Intelligence

Song, Yuhang, Wojcicki, Andrzej, Lukasiewicz, Thomas et al.

Understand

Learning agents that are not only capable of taking tests, but also innovating is becoming a hot topic in AI.

  • One of the most promising paths towards this vision is multi-agent learning, where agents act as the environment for each other, and improving each agent means proposing new problems for others.
  • However, existing evaluation platforms are either not compatible with multi-agent settings, or limited to a specific game.
  • That is, there is not yet a general evaluation platform for research on multi-agent intelligence.

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