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DeepRMSA: A Deep Reinforcement Learning Framework for Routing,
  Modulation and Spectrum Assignment in Elastic Optical Networks

DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks

6 May 2019
Xiaoliang Chen
Baojia Li
R. Proietti
Hongbo Lu
Zuqing Zhu
S. Yoo
ArXivPDFHTML

Papers citing "DeepRMSA: A Deep Reinforcement Learning Framework for Routing, Modulation and Spectrum Assignment in Elastic Optical Networks"

3 / 3 papers shown
Title
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Michael Doherty
Robin Matzner
Rasoul Sadeghi
Polina Bayvel
Alejandra Beghelli
65
0
0
18 Feb 2025
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Model-free reinforcement learning with noisy actions for automated experimental control in optics
Lea Richtmann
Viktoria-S. Schmiesing
Dennis Wilken
Jan Heine
Aaron Tranter
Avishek Anand
Tobias J. Osborne
M. Heurs
33
2
0
24 May 2024
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic
  Engineering
MAGNNETO: A Graph Neural Network-based Multi-Agent system for Traffic Engineering
Guillermo Bernárdez
José Suárez-Varela
Albert Lopez
Xiang Shi
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
33
24
0
31 Mar 2023
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