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ENERO: Efficient Real-Time WAN Routing Optimization with Deep
  Reinforcement Learning

ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning

22 September 2021
Paul Almasan
Shihan Xiao
Xiangle Cheng
Xiang Shi
Pere Barlet-Ros
A. Cabellos-Aparicio
ArXivPDFHTML

Papers citing "ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning"

12 / 12 papers shown
Title
Array Programming with NumPy
Array Programming with NumPy
Charles R. Harris
K. Millman
S. Walt
R. Gommers
Pauli Virtanen
...
Tyler Reddy
Warren Weckesser
Hameer Abbasi
C. Gohlke
T. Oliphant
154
14,953
0
18 Jun 2020
Combining Reinforcement Learning and Constraint Programming for
  Combinatorial Optimization
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
Quentin Cappart
Thierry Moisan
Louis-Martin Rousseau
Isabeau Prémont-Schwarz
A. Ciré
60
143
0
02 Jun 2020
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
CFR-RL: Traffic Engineering with Reinforcement Learning in SDN
Member Ieee Junjie Zhang
Minghao Ye
Senior Member Ieee Zehua Guo
Chen-Yu Yen
F. I. H. Jonathan Chao
27
138
0
24 Apr 2020
Deep Reinforcement Learning meets Graph Neural Networks: exploring a
  routing optimization use case
Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optimization use case
Paul Almasan
J. Suárez-Varela
Krzysztof Rusek
Pere Barlet-Ros
A. Cabellos-Aparicio
GNN
AI4CE
94
187
0
16 Oct 2019
RouteNet: Leveraging Graph Neural Networks for network modeling and
  optimization in SDN
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN
Maik Ender
Pawel Swierczynski
Paul Almasan
Paul Martin Knopp
A. Cabellos-Aparicio
GNN
53
245
0
03 Oct 2019
Neural Packet Classification
Neural Packet Classification
Eric Liang
Hang Zhu
Xin Jin
Ion Stoica
OffRL
67
121
0
27 Feb 2019
Understanding the impact of entropy on policy optimization
Understanding the impact of entropy on policy optimization
Zafarali Ahmed
Nicolas Le Roux
Mohammad Norouzi
Dale Schuurmans
73
233
0
27 Nov 2018
Learning Scheduling Algorithms for Data Processing Clusters
Learning Scheduling Algorithms for Data Processing Clusters
Hongzi Mao
Malte Schwarzkopf
S. Venkatakrishnan
Zili Meng
Mohammad Alizadeh
OffRL
78
646
0
03 Oct 2018
Experience-driven Networking: A Deep Reinforcement Learning based
  Approach
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Zhiyuan Xu
Jian Tang
Jingsong Meng
Weiyi Zhang
Yanzhi Wang
C. Liu
Dejun Yang
OffRL
57
362
0
17 Jan 2018
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
496
19,019
0
20 Jul 2017
OpenAI Gym
OpenAI Gym
Greg Brockman
Vicki Cheung
Ludwig Pettersson
Jonas Schneider
John Schulman
Jie Tang
Wojciech Zaremba
OffRL
ODL
217
5,076
0
05 Jun 2016
High-Dimensional Continuous Control Using Generalized Advantage
  Estimation
High-Dimensional Continuous Control Using Generalized Advantage Estimation
John Schulman
Philipp Moritz
Sergey Levine
Michael I. Jordan
Pieter Abbeel
OffRL
93
3,406
0
08 Jun 2015
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