53 citations · 147 across the 7 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
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.AI2019★ 6 cited
Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning
Hangyu Mao, Wulong Liu, Jianye Hao +5
Social psychology and real experiences show that cognitive consistency plays an important role to keep human society in order: if people have a more consistent cognition about thei…
cs.MA2019★ 11 cited
Learning Multi-agent Communication under Limited-bandwidth Restriction for Internet Packet Routing
Hangyu Mao, Zhibo Gong, Zhengchao Zhang +2
Communication is an important factor for the big multi-agent world to stay organized and productive. Recently, the AI community has applied the Deep Reinforcement Learning (DRL) to…