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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Vydáno v:	IEEE geoscience and remote sensing letters Ročník 18; číslo 11; s. 1901 - 1905
Hlavní autoři:	Dalin, Li, Haijiao, Wang, Zhen, Yang, Yanfeng, Gu, Shi, Shen
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.11.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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