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.
@article{arxiv.2202.06617,
title = {An Application of Online Learning to Spacecraft Memory Dump Optimization},
author = {Tommaso Cesari and Jonathan Pergoli and Michele Maestrini and Pierluigi Di Lizia},
journal= {arXiv preprint arXiv:2202.06617},
year = {2022}
}