That's so cool! I wish they could start doing AI for team based competitive games like League of Legends where meta-play and team decision making is important.
Is that too complicated to tackle yet?
Inter-agent communication, especially in a machine learning context, is an unsolved problem, exploring it in such a scenario would be nice.
Agent-human communication is probably as hard, and also largely unsolved, although there is a push right now for dialog systems to achieve human level performance.
this brings up another interesting topic all together- which is how inefficient human language is at communicating complex ideas, quickly, with people you don't know.
that is- just like how AI has an obvious APM advantage, it also has an obvious communication advantage (raw serialization and deserialization. there is no room for ambiguity or misinterpretation).
basically, all information known by one agent will be known by all other agents in near-realtime. something humans can't do yet.
but, there is a different use case where you have an AI team try to beat another AI team under optimal conditions, which i think is more interesting, as it has the chance to completely change the metagame (like what Deep Blue and DeepMind can do for Chess/Go respectively).
On the other hand, if four people are simultaneously speaking to you, it's hard to understand all of them at once (especially if you're also talking at the same time); of course, an AI would presumably be able to communicate information much more quickly to other AIs than humans can to other humans, so limiting one to "speaking" at a time would probably not be that detrimental to them