An Online Distributed Satellite Cooperative Observation Scheduling Algorithm Based on Multiagent Deep Reinforcement Learning

The provision of real-time information services is one of the crucial functions of satellites. In comparison with the centralized scheduling, the distributed scheduling can provide better robustness and extendibility. However, the existing distributed satellite scheduling algorithms require a large...

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Bibliographic Details
Published in:	IEEE geoscience and remote sensing letters Vol. 18; no. 11; pp. 1901 - 1905
Main Authors:	Dalin, Li, Haijiao, Wang, Zhen, Yang, Yanfeng, Gu, Shi, Shen
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.11.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Aerospace electronics Algorithms Communication Decisions Deep learning Deep reinforcement learning (DRL) distributed scheduling Games imaging satellites Information services Machine learning Markov processes Multiagent systems neural network Policies Real time real-time scheduling Real-time systems Reinforcement Response time Satellite observation Satellites Scheduling Task analysis Task scheduling
ISSN:	1545-598X, 1558-0571
Online Access:	Get full text
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