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.
Built on
Nothing clear enough to list yet.
Similar
Nothing clear enough to list yet.
Then
Nothing clear enough to list yet.
Beyond the bibliography
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…