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A Deep-Reinforcement Learning Approach for Software-Defined Networking
  Routing Optimization

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

20 September 2017
Giorgio Stampa
M. Arias
David Sánchez-Charles
V. Muntés-Mulero
A. Cabellos-Aparicio
ArXivPDFHTML

Papers citing "A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization"

10 / 10 papers shown
Title
Multi-Agent Reinforcement Learning for Network Routing in Integrated
  Access Backhaul Networks
Multi-Agent Reinforcement Learning for Network Routing in Integrated Access Backhaul Networks
Shahaf Yamin
H. Permuter
18
3
0
12 May 2023
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
RayNet: A Simulation Platform for Developing Reinforcement
  Learning-Driven Network Protocols
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols
Luca Giacomoni
Basil Benny
G. Parisis
22
3
0
09 Feb 2023
Online Distributed Evolutionary Optimization of Time Division Multiple
  Access Protocols
Online Distributed Evolutionary Optimization of Time Division Multiple Access Protocols
Anil Yaman
T. Lee
Giovanni Iacca
15
4
0
27 Apr 2022
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement
  Learning for Highly Dynamic Networks
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks
Saeed Kaviani
Bo Ryu
Ejaz Ahmed
Kevin Larson
Anh-Ngoc Le
Alex Yahja
J. H. Kim
28
9
0
29 Nov 2021
Is Machine Learning Ready for Traffic Engineering Optimization?
Is Machine Learning Ready for Traffic Engineering Optimization?
Guillermo Bernárdez
José Suárez-Varela
Albert Lopez
Bo-Xi Wu
Shihan Xiao
Xiangle Cheng
Pere Barlet-Ros
A. Cabellos-Aparicio
37
46
0
03 Sep 2021
A Reinforcement Learning Approach for Scheduling in mmWave Networks
A Reinforcement Learning Approach for Scheduling in mmWave Networks
M. Dogan
Yahya H. Ezzeldin
Christina Fragouli
Addison W. Bohannon
22
10
0
01 Aug 2021
Relational Deep Reinforcement Learning for Routing in Wireless Networks
Relational Deep Reinforcement Learning for Routing in Wireless Networks
Victoria Manfredi
Alicia P. Wolfe
Bing Wang
X. Zhang
13
8
0
31 Dec 2020
Applications of Deep Reinforcement Learning in Communications and
  Networking: A Survey
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Nguyen Cong Luong
D. Hoang
Shimin Gong
Dusit Niyato
Ping Wang
Ying-Chang Liang
Dong In Kim
OffRL
48
1,422
0
18 Oct 2018
Artificial Intelligence Enabled Software Defined Networking: A
  Comprehensive Overview
Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview
Majd Latah
Levent Toker
AI4CE
32
98
0
19 Mar 2018
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