71 citations · 144 across the 18 of their papers we have counts for
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cs.MA2024
Pragmatic Communication for Remote Control of Finite-State Markov Processes
Pietro Talli, Edoardo David Santi, Federico Chiariotti +4
Pragmatic or goal-oriented communication can optimize communication decisions beyond the reliable transmission of data, instead aiming at directly affecting application performance…
cs.MA2021★ 46 cited
Using Distributed Reinforcement Learning for Resource Orchestration in a Network Slicing Scenario
Federico Mason, Gianfranco Nencioni, Andrea Zanella
The Network Slicing (NS) paradigm enables the partition of physical and virtual resources among multiple logical networks, possibly managed by different tenants. In such a scenario…