| Autor: |
Cesari, Tommaso, Pergoli, Jonathan, Maestrini, Michele, Di Lizia, Pierluigi |
| Rok vydání: |
2022 |
| Předmět: |
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| Druh dokumentu: |
Working Paper |
| Popis: |
In this paper, we present a real-world application of online learning with expert advice to the field of Space Operations, testing our theory on real-life data coming from the Copernicus Sentinel-6 satellite. We show that in Spacecraft Memory Dump Optimization, a lightweight Follow-The-Leader algorithm leads to an increase in performance of over $60\%$ when compared to traditional techniques. |
| Databáze: |
arXiv |
| Externí odkaz: |
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