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

39 citations · 40 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2023★ 1 cited

Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments

Yuan Chen, Quecheng Qiu, Xiangyu Liu +5

Reliable localization is crucial for autonomous robots to navigate efficiently and safely. Some navigation methods can plan paths with high localizability (which describes the capa…

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…