Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment

Many real-world applications require multi-robot coordination in partially-observable domains such as package delivery, search, and rescue. One typical way to address partial observability is to enable information sharing among robots via dedicated communication protocols. However, designing commu-n...

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Bibliographic Details

Published in:	2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI) pp. 272 - 281
Main Authors:	Liang, Zhixuan, Cao, Jiannong, Lin, Wanyu, Chen, Jinlin, Xu, Huafeng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2021
Subjects:	Information sharing Multi-robot Cooperation Multi-robot Reinforcement Learning Multi-robot systems Protocols Reinforcement learning Robot kinematics Task analysis Training
Online Access:	Get full text
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