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Applications of Deep Reinforcement Learning in Communications and
  Networking: A Survey

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

18 October 2018
Nguyen Cong Luong
D. Hoang
Shimin Gong
Dusit Niyato
Ping Wang
Ying-Chang Liang
Dong In Kim
    OffRL
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Papers citing "Applications of Deep Reinforcement Learning in Communications and Networking: A Survey"

10 / 210 papers shown
Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding
Reinforcement Learning for Channel Coding: Learned Bit-Flipping DecodingAllerton Conference on Communication, Control, and Computing (Allerton), 2019
Fabrizio Carpi
Christian Hager
M. Martalò
R. Raheli
H. Pfister
181
51
0
11 Jun 2019
Toward Packet Routing with Fully-distributed Multi-agent Deep
  Reinforcement Learning
Toward Packet Routing with Fully-distributed Multi-agent Deep Reinforcement LearningInternational Symposium on Modeling and Optimization in Mobile, Ad-Hoc and Wireless Networks (WiOpt), 2019
Xinyu You
Xuanjie Li
Yuedong Xu
Hui Feng
Jin Zhao
Huaicheng Yan
155
24
0
09 May 2019
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 NetworksJournal of Lightwave Technology (JLT), 2019
Xiaoliang Chen
Baojia Li
R. Proietti
Hongbo Lu
Zuqing Zhu
S. Yoo
193
186
0
06 May 2019
Machine Learning in the Air
Machine Learning in the AirIEEE Journal on Selected Areas in Communications (JSAC), 2019
Deniz Gunduz
Paul de Kerret
N. Sidiropoulos
David Gesbert
C. Murthy
M. Schaar
AI4CE
150
204
0
28 Apr 2019
The Roadmap to 6G -- AI Empowered Wireless Networks
The Roadmap to 6G -- AI Empowered Wireless Networks
Khaled B. Letaief
Wei Chen
Yuanming Shi
Jun Zhang
Y. Zhang
246
1,506
0
26 Apr 2019
Machine Learning Tips and Tricks for Power Line Communications
Machine Learning Tips and Tricks for Power Line Communications
Andrea M. Tonello
N. A. Letizia
Davide Righini
Francesco Marcuzzi
165
33
0
24 Apr 2019
QFlow: A Learning Approach to High QoE Video Streaming at the Wireless
  Edge
QFlow: A Learning Approach to High QoE Video Streaming at the Wireless Edge
Rajarshi Bhattacharyya
Archana Bura
Desik Rengarajan
Mason Rumuly
Bainan Xia
S. Shakkottai
D. Kalathil
Ricky K. P. Mok
A. Dhamdhere
115
21
0
04 Jan 2019
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in
  Wireless Networks
Multi-Agent Deep Reinforcement Learning for Dynamic Power Allocation in Wireless Networks
Yasar Sinan Nasir
Dongning Guo
430
529
0
01 Aug 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018
Chaoyun Zhang
P. Patras
Hamed Haddadi
357
1,423
0
12 Mar 2018
Artificial Neural Networks-Based Machine Learning for Wireless Networks:
  A Tutorial
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
Mingzhe Chen
Ursula Challita
Walid Saad
Changchuan Yin
Mérouane Debbah
221
218
0
09 Oct 2017
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