Deep Reinforcement Learning for the Agile Earth Observation Satellite Scheduling Problem

The agile earth observation satellite scheduling problem (AEOSSP) is a combinatorial optimization problem with time-dependent constraints. Recently, many construction heuristics and meta-heuristics have been proposed; however, existing methods cannot balance the requirements of efficiency and timeli...

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Autori principali:	Jie Chun, Wenyuan Yang, Xiaolu Liu, Guohua Wu, Lei He, Lining Xing
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-09-01
Serie:	Mathematics
Soggetti:	agile satellite scheduling task planning graph attention network deep reinforcement learning proximal policy optimization
Accesso online:	https://www.mdpi.com/2227-7390/11/19/4059
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