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An Application of Online Learning to Spacecraft Memory Dump Optimization

2022-02-14 · Tommaso Cesari, Jonathan Pergoli, Michele Maestrini, Pierluigi Di Lizia

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.

📄 PDF Abstract BibTeX arXiv:2202.06617

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