7 citations · 9 across the 5 of their papers we have counts for
5 papers
Distributed Autonomous Swarm Formation for Dynamic Network Bridging
Raffaele Galliera, Thies Möhlenhof, Alessandro Amato +3
Effective operation and seamless cooperation of robotic systems are a fundamental component of next-generation technologies and applications. In contexts such as disaster response,…
Safety-Aware Multi-Agent Learning for Dynamic Network Bridging
Raffaele Galliera, Konstantinos Mitsopoulos, Niranjan Suri +1
Addressing complex cooperative tasks in safety-critical environments poses significant challenges for multi-agent systems, especially under conditions of partial observability. We…
Collaborative Information Dissemination with Graph-based Multi-Agent Reinforcement Learning
Raffaele Galliera, Kristen Brent Venable, Matteo Bassani +1
Efficient information dissemination is crucial for supporting critical operations across domains like disaster response, autonomous vehicles, and sensor networks. This paper introd…
Learning to Sail Dynamic Networks: The MARLIN Reinforcement Learning Framework for Congestion Control in Tactical Environments
Raffaele Galliera, Mattia Zaccarini, Alessandro Morelli +4
Conventional Congestion Control (CC) algorithms,such as TCP Cubic, struggle in tactical environments as they misinterpret packet loss and fluctuating network performance as congest…
MARLIN: Soft Actor-Critic based Reinforcement Learning for Congestion Control in Real Networks
Raffaele Galliera, Alessandro Morelli, Roberto Fronteddu +1
Fast and efficient transport protocols are the foundation of an increasingly distributed world. The burden of continuously delivering improved communication performance to support…