Deep Reinforcement Learning for the Agile Earth Observation Satellite Scheduling Problem

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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Bibliographic Details
Main Authors: Jie Chun, Wenyuan Yang, Xiaolu Liu, Guohua Wu, Lei He, Lining Xing
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Mathematics
Subjects:
agile satellite scheduling
task planning
graph attention network
deep reinforcement learning
proximal policy optimization
Online Access:https://www.mdpi.com/2227-7390/11/19/4059

Internet

https://www.mdpi.com/2227-7390/11/19/4059

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