Two-stage deep reinforcement learning method for agile optical satellite scheduling problem
Abstract This paper investigates the agile optical satellite scheduling problem, which aims to arrange an observation sequence and observation actions for observation tasks. Existing research mainly aims to maximize the number of completed tasks or the total priorities of the completed tasks but ign...
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| Autors principals: | , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Springer
2024-11-01
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| Col·lecció: | Complex & Intelligent Systems |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/s40747-024-01667-x |
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