Learning to Sail Dynamic Networks: The MARLIN Reinforcement Learning Framework for Congestion Control in Tactical Environments

no code implementations • 27 Jun 2023 • Raffaele Galliera, Mattia Zaccarini, Alessandro Morelli, Roberto Fronteddu, Filippo Poltronieri, Niranjan Suri, Mauro Tortonesi

Conventional Congestion Control (CC) algorithms, such as TCP Cubic, struggle in tactical environments as they misinterpret packet loss and fluctuating network performance as congestion symptoms.

Reinforcement Learning (RL)