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cs.NI2025
Learning-Based vs Human-Derived Congestion Control: An In-Depth Experimental Study
Mihai Mazilu, Luca Giacomoni, George Parisis
Learning-based congestion control (CC), including Reinforcement-Learning, promises efficient CC in a fast-changing networking landscape, where evolving communication technologies,…
cs.NI2023
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols
Luca Giacomoni, Basil Benny, George Parisis
Reinforcement Learning (RL) has gained significant momentum in the development of network protocols. However, RL-based protocols are still in their infancy, and substantial researc…