Raffaele Galliera

According to our database1, Raffaele Galliera authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Multi-Agent Reinforcement Learning with Control-Theoretic Safety Guarantees for Dynamic Network Bridging.
CoRR, 2024

Distributed Autonomous Swarm Formation for Dynamic Network Bridging.
Proceedings of the IEEE INFOCOM 2024, 2024

A Performance Cost/Benefit Analysis of Adaptive Computing in the Tactical Edge.
Proceedings of the International Conference on Military Communication and Information Systems, 2024

Collaborative Information Dissemination with Graph-Based Multi-Agent Reinforcement Learning.
Proceedings of the Algorithmic Decision Theory - 8th International Conference, 2024

Deep Reinforcement Learning for Communication Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning.
CoRR, 2023

MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks.
Proceedings of the NOMS 2023, 2023

Learning to Sail Dynamic Networks: The MARLIN Reinforcement Learning Framework for Congestion Control in Tactical Environments.
Proceedings of the IEEE Military Communications Conference, 2023

RoamML: Distributed Machine Learning at the Tactical Edge.
Proceedings of the IEEE Military Communications Conference, 2023

2022
A Machine Learning Approach to the Determination of Value of Information to Operators and Applications on the Tactical Edge.
Proceedings of the International Conference on Military Communication and Information Systems, 2022

Object Detection at the Edge: Off-the-shelf Deep Learning Capable Devices and Accelerators.
Proceedings of the International Conference on Military Communication and Information Systems, 2022

2021
Marine Vessel Tracking using a Monocular Camera.
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021


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