Continual Deep Reinforcement Learning for Decentralized Satellite Routing

no code implementations • 20 May 2024 • Federico Lozano-Cuadra, Beatriz Soret, Israel Leyva-Mayorga, Petar Popovski

First, an offline learning phase relies on decentralized decisions and a global Deep Neural Network (DNN) trained with global experiences.

Continual Learning Federated Learning +1

Multi-Agent Deep Reinforcement Learning for Distributed Satellite Routing

no code implementations • 27 Feb 2024 • 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).

Decision Making reinforcement-learning