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DeepRMSA: A Deep Reinforcement Learning Framework for Routing,
  Modulation and Spectrum Assignment in Elastic Optical Networks
v1v2 (latest)

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

Journal of Lightwave Technology (JLT), 2019
6 May 2019
Xiaoliang Chen
Baojia Li
R. Proietti
Hongbo Lu
Zuqing Zhu
S. Yoo
ArXiv (abs)PDFHTML

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

7 / 7 papers shown
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?Journal of Optical Communications and Networking (JOCN), 2025
Michael Doherty
Robin Matzner
Rasoul Sadeghi
Polina Bayvel
Alejandra Beghelli
445
3
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
368
3
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 EngineeringIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2023
Guillermo Bernárdez
José Suárez-Varela
Albert Lopez
Xiang Shi
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
173
37
0
31 Mar 2023
Parallel photonic accelerator for decision making using optical
  spatiotemporal chaos
Parallel photonic accelerator for decision making using optical spatiotemporal chaosOptica (OSA), 2022
K. Morijiri
Kento Takehana
Takatomo Mihana
Kazutaka Kanno
Makoto Naruse
Atsushi Uchida
95
12
0
12 Oct 2022
Resource Allocation in Multicore Elastic Optical Networks: A Deep
  Reinforcement Learning Approach
Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach
Juan Pinto-Ríos
F. Calderón
A. Leiva
Gabriel Hermosilla
A. Beghelli
Danilo Bórquez-Paredes
A. Lozada
N. Jara
R. Olivares
G. Saavedra
128
22
0
05 Jul 2022
Controlling chaotic itinerancy in laser dynamics for reinforcement
  learning
Controlling chaotic itinerancy in laser dynamics for reinforcement learningScience Advances (Sci Adv), 2022
Ryugo Iwami
Takatomo Mihana
Kazutaka Kanno
S. Sunada
Makoto Naruse
Atsushi Uchida
87
32
0
12 May 2022
Applying Graph-based Deep Learning To Realistic Network Scenarios
Applying Graph-based Deep Learning To Realistic Network Scenarios
Miquel Ferriol Galmés
J. Suárez-Varela
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
175
10
0
13 Oct 2020
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