RayNet: a simulation platform for developing reinforcement learning-driven network protocols

L Giacomoni, B Benny, G Parisis - ACM Transactions on Modeling and … - dl.acm.org
Reinforcement Learning (RL) has gained significant momentum in the development of
network protocols. However, RL-based protocols are still in their infancy, and substantial …

[PDF][PDF] RayNet: a simulation platform for developing reinforcement learning-driven network protocols

L Giacomoni, G Parisis - 2024 - sussex.figshare.com
Reinforcement Learning (RL) has gained substantial momentum in developing congestion
control algorithms [1, 56], routing [26], video rate control [17, 27], network access [33, 52] …

RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols

L Giacomoni, B Benny, G Parisis - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
Reinforcement Learning (RL) has gained significant momentum in the development of
network protocols. However, RL-based protocols are still in their infancy, and substantial …

RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols

L Giacomoni, B Benny, G Parisis - arXiv preprint arXiv:2302.04519, 2023 - arxiv.org
Reinforcement Learning (RL) has gained significant momentum in the development of
network protocols. However, RL-based protocols are still in their infancy, and substantial …

RayNet: a simulation platform for developing reinforcement learning-driven network protocols

L Giacomoni, G Parisis - sussex.figshare.com
Reinforcement Learning (RL) has gained significant momentum in the development of
network protocols. However, RL-based protocols are still in their infancy, and substantial …