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CFR-RL: Traffic Engineering with Reinforcement Learning in SDN

CFR-RL: Traffic Engineering with Reinforcement Learning in SDN

24 April 2020
Member Ieee Junjie Zhang
Minghao Ye
Senior Member Ieee Zehua Guo
Chen-Yu Yen
F. I. H. Jonathan Chao
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Papers citing "CFR-RL: Traffic Engineering with Reinforcement Learning in SDN"

10 / 10 papers shown
Title
Reinforcement Learning Discovers Efficient Decentralized Graph Path
  Search Strategies
Reinforcement Learning Discovers Efficient Decentralized Graph Path Search Strategies
Alexei Pisacane
Victor-Alexandru Darvariu
Mirco Musolesi
27
0
0
12 Sep 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for
  Mobile Edge Computing, its Applications, and Future Research Trajectories
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories
Ning Yang
Shuo Chen
Haijun Zhang
Randall Berry
OffRL
42
6
0
22 Apr 2024
Graph Reinforcement Learning for Combinatorial Optimization: A Survey
  and Unifying Perspective
Graph Reinforcement Learning for Combinatorial Optimization: A Survey and Unifying Perspective
Victor-Alexandru Darvariu
Stephen Hailes
Mirco Musolesi
AI4CE
53
6
0
09 Apr 2024
Intelligent multicast routing method based on multi-agent deep
  reinforcement learning in SDWN
Intelligent multicast routing method based on multi-agent deep reinforcement learning in SDWN
Hongwen Hu
Miao Ye
Chenwei Zhao
Qiuxiang Jiang
Yong Wang
Hongbing Qiu
Xiaofang Deng
30
2
0
12 May 2023
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering
Zhiying Xu
Francis Y. Yan
Rachee Singh
Justin T. Chiu
Alexander M. Rush
Minlan Yu
26
44
0
25 Oct 2022
DRL-M4MR: An Intelligent Multicast Routing Approach Based on DQN Deep
  Reinforcement Learning in SDN
DRL-M4MR: An Intelligent Multicast Routing Approach Based on DQN Deep Reinforcement Learning in SDN
Chenwei Zhao
Miao Ye
Xingsi Xue
Jianhui Lv
Qiuxiang Jiang
Yong Wang
27
17
0
31 Jul 2022
ENERO: Efficient Real-Time WAN Routing Optimization with Deep
  Reinforcement Learning
ENERO: Efficient Real-Time WAN Routing Optimization with Deep Reinforcement Learning
Paul Almasan
Shihan Xiao
Xiangle Cheng
Xiang Shi
Pere Barlet-Ros
A. Cabellos-Aparicio
29
19
0
22 Sep 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement
  Learning via Frank-Wolfe Policy Optimization
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization
Jyun-Li Lin
Wei-Ting Hung
Shangtong Yang
Ping-Chun Hsieh
Xi Liu
40
14
0
22 Feb 2021
Reinforcement Learning for Caching with Space-Time Popularity Dynamics
Reinforcement Learning for Caching with Space-Time Popularity Dynamics
A. Sadeghi
G. Giannakis
Gang Wang
Fatemeh Sheikholeslami
23
1
0
19 May 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
61
186
0
16 Oct 2019
1