most citedACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning

39 citations · 60 across the 3 of their papers we have counts for

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cs.AI2019★ 10 cited

Learning Agent Communication under Limited Bandwidth by Message Pruning

Hangyu Mao, Zhengchao Zhang, Zhen Xiao +2

Communication is a crucial factor for the big multi-agent world to stay organized and productive. Recently, Deep Reinforcement Learning (DRL) has been applied to learn the communic…

cs.AI2017★ 39 cited

ACCNet: Actor-Coordinator-Critic Net for "Learning-to-Communicate" with Deep Multi-agent Reinforcement Learning

Hangyu Mao, Zhibo Gong, Yan Ni +1

Communication is a critical factor for the big multi-agent world to stay organized and productive. Typically, most previous multi-agent "learning-to-communicate" studies try to pre…