Showing cs.LGShow all
3 papers · 1 filter
cs.LG2024
An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networks
Federico Lozano-Cuadra, Mathias D. Thorsager, Israel Leyva-Mayorga +1
This paper introduces an open source simulator for packet routing in Low Earth Orbit Satellite Constellations (LSatCs) considering the dynamic system uncertainties. The simulator,…
cs.LG2024
Continual Deep Reinforcement Learning for Decentralized Satellite Routing
Federico Lozano-Cuadra, Beatriz Soret, Israel Leyva-Mayorga +1
This paper introduces a full solution for decentralized routing in Low Earth Orbit satellite constellations based on continual Deep Reinforcement Learning (DRL). This requires addr…
cs.LG2024
Multi-Agent Deep Reinforcement Learning for Distributed Satellite Routing
Federico Lozano-Cuadra, Beatriz Soret
This paper introduces a Multi-Agent Deep Reinforcement Learning (MA-DRL) approach for routing in Low Earth Orbit Satellite Constellations (LSatCs). Each satellite is an independent…