From Few to More: Large-scale Dynamic Multiagent Curriculum Learning

national conference on artificial intelligence, 2020.

Cited by: 3|Bibtex|Views99|Links

Abstract:

A lot of efforts have been devoted to investigating how agents can learn effectively and achieve coordination in multiagent systems. However, it is still challenging in large-scale multiagent settings due to the complex dynamics between the environment and agents and the explosion of state-action space. In this paper, we design a novel ...More

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