2 papers
cs.LG2020
Chance-Constrained Control with Lexicographic Deep Reinforcement Learning
Alessandro Giuseppi, Antonio Pietrabissa
This paper proposes a lexicographic Deep Reinforcement Learning (DeepRL)-based approach to chance-constrained Markov Decision Processes, in which the controller seeks to ensure tha…
cs.NI2020
6G in the Sky: On-Demand Intelligence at the Edge of 3D Networks
Emilio Calvanese Strinati, Sergio Barbarossa, Taesang Choi +10
6G will exploit satellite, aerial and terrestrial platforms jointly to improve radio access capability and to unlock the support of on-demand edge cloud services in the three dimen…