From Few to More: Large-scale Dynamic Multiagent Curriculum Learning
national conference on artificial intelligence, 2020.
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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