Hierarchical Reinforcement-Learning for Real-Time Scheduling of Agile Satellites
As is well known, satellite resources are extremely scarce relative to observation demands. Consequently, the Earth observation satellite (EOS) scheduling becomes a remarkable problem which is of significant importance. As an NP-hard problem, It is difficult to get an optimal solution. Furthermore,...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9272312/ |