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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
ArXiv (abs)PDFHTML

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

50 / 210 papers shown
Title
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in
  Physical Layer
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical LayerIEEE Transactions on Communications (IEEE Trans. Commun.), 2020
Wei Cui
Wei Yu
172
13
0
22 Dec 2020
Distributed Machine Learning for Wireless Communication Networks:
  Techniques, Architectures, and Applications
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and ApplicationsIEEE Communications Surveys and Tutorials (COMST), 2020
Shuyan Hu
Xiaojing Chen
Wei Ni
Ekram Hossain
Xin Wang
AI4CE
223
139
0
02 Dec 2020
Energy Aware Deep Reinforcement Learning Scheduling for Sensors
  Correlated in Time and Space
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and SpaceIEEE Internet of Things Journal (IEEE IoT J.), 2020
Jernej Hribar
Andrei Marinescu
A. Chiumento
Luiz DaSilva
156
19
0
19 Nov 2020
Adaptive Contention Window Design using Deep Q-learning
Adaptive Contention Window Design using Deep Q-learningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Abhishek Kumar
Gunjan Verma
Chirag R. Rao
A. Swami
Santiago Segarra
120
38
0
18 Nov 2020
Deep reinforcement learning for RAN optimization and control
Deep reinforcement learning for RAN optimization and control
Yu Chen
Jie Chen
G. Krishnamurthi
Huijing Yang
Huahui Wang
Wenjie Zhao
70
2
0
09 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled
  Wireless Networks: A Tutorial
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial
Amal Feriani
Ekram Hossain
352
301
0
06 Nov 2020
Applicability and Challenges of Deep Reinforcement Learning for
  Satellite Frequency Plan Design
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design
J. Luis
E. Crawley
B. Cameron
119
6
0
15 Oct 2020
Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource
  Allocation for Next-Generation Cellular Systems
Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource Allocation for Next-Generation Cellular Systems
Shu Sun
Xiaofeng Li
53
2
0
11 Oct 2020
SREC: Proactive Self-Remedy of Energy-Constrained UAV-Based Networks via
  Deep Reinforcement Learning
SREC: Proactive Self-Remedy of Energy-Constrained UAV-Based Networks via Deep Reinforcement LearningGlobal Communications Conference (GLOBECOM), 2020
Ran Zhang
Miao Wang
L. Cai
51
7
0
17 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
792
88
0
17 Sep 2020
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio
  Access Network Slicing
Reinforcement Learning for Dynamic Resource Optimization in 5G Radio Access Network SlicingIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (MDCLN), 2020
Yi Shi
Y. Sagduyu
T. Erpek
147
64
0
14 Sep 2020
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G:
  Integrating Domain Knowledge into Deep Learning
A Tutorial on Ultra-Reliable and Low-Latency Communications in 6G: Integrating Domain Knowledge into Deep Learning
Changyang She
Chengjian Sun
Zhouyou Gu
Yonghui Li
Chenyang Yang
H. Vincent Poor
Branka Vucetic
231
17
0
13 Sep 2020
Evolutionary Reinforcement Learning via Cooperative Coevolutionary
  Negatively Correlated Search
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated SearchSwarm and Evolutionary Computation (Swarm Evol. Comput.), 2020
Hu Zhang
Peng Yang
Yang Yu
Mingjiang Li
Shengcai Liu
200
23
0
08 Sep 2020
Driving Tasks Transfer in Deep Reinforcement Learning for
  Decision-making of Autonomous Vehicles
Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles
Bingding Huang
Teng Liu
Xingyu Mu
Dongpu Cao
119
3
0
07 Sep 2020
Latency and Throughput Optimization in Modern Networks: A Comprehensive
  Survey
Latency and Throughput Optimization in Modern Networks: A Comprehensive Survey
A. Mirzaeinia
Mehdi Mirzaeinia
A. Rezgui
126
7
0
01 Sep 2020
Reinforcement Learning-based Admission Control in Delay-sensitive
  Service Systems
Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems
Majid Raeis
A. Tizghadam
A. Leon-Garcia
71
17
0
21 Aug 2020
Toward Smart Security Enhancement of Federated Learning Networks
Toward Smart Security Enhancement of Federated Learning Networks
Junjie Tan
Ying-Chang Liang
Nguyen Cong Luong
Dusit Niyato
AAML
104
42
0
19 Aug 2020
Intelligent Radio Signal Processing: A Survey
Intelligent Radio Signal Processing: A Survey
Quoc-Viet Pham
N. Nguyen
Thien Huynh-The
Long Bao Le
Kyungchun Lee
Won Joo Hwang
219
59
0
19 Aug 2020
A Survey of Deep Learning for Data Caching in Edge Network
A Survey of Deep Learning for Data Caching in Edge Network
Yantong Wang
V. Friderikos
133
35
0
17 Aug 2020
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques,
  Application Scenarios, and Datasets
A Survey on Device Behavior Fingerprinting: Data Sources, Techniques, Application Scenarios, and DatasetsIEEE Communications Surveys and Tutorials (COMST), 2020
Pedro Miguel Sánchez Sánchez
José María Jorquera Valero
Alberto Huertas Celdrán
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
209
112
0
07 Aug 2020
Learning Power Control from a Fixed Batch of Data
Learning Power Control from a Fixed Batch of Data
M. Khoshkholgh
H. Yanikomeroglu
OffRL
105
2
0
05 Aug 2020
Queueing Network Controls via Deep Reinforcement Learning
Queueing Network Controls via Deep Reinforcement LearningStochastic Systems (Stoch. Syst.), 2020
J. Dai
Mark O. Gluzman
OffRL
335
65
0
31 Jul 2020
Heterogeneous Task Offloading and Resource Allocations via Deep
  Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks
Heterogeneous Task Offloading and Resource Allocations via Deep Recurrent Reinforcement Learning in Partial Observable Multi-Fog Networks
Jungyeon Baek
Georges Kaddoum
76
100
0
21 Jul 2020
Tomography Based Learning for Load Distribution through Opaque Networks
Tomography Based Learning for Load Distribution through Opaque NetworksIEEE Open Journal of the Communications Society (OJ-COMSOC), 2020
Shenghe Xu
M. Kodialam
T. V. Lakshman
S. Panwar
OOD
83
4
0
18 Jul 2020
Artificial Intelligence and Machine Learning in 5G Network Security:
  Opportunities, advantages, and future research trends
Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends
Noman Haider
M. Z. Baig
Muhammad Imran
114
39
0
09 Jul 2020
Policy Improvement via Imitation of Multiple Oracles
Policy Improvement via Imitation of Multiple Oracles
Ching-An Cheng
Andrey Kolobov
Alekh Agarwal
132
6
0
01 Jul 2020
Towards Learning-automation IoT Attack Detection through Reinforcement
  Learning
Towards Learning-automation IoT Attack Detection through Reinforcement Learning
Tianbo Gu
Allaukik Abhishek
Hao Xu
Huanle Zhang
Debraj Basu
P. Mohapatra
AAML
66
39
0
29 Jun 2020
Applying Deep-Learning-Based Computer Vision to Wireless Communications:
  Methodologies, Opportunities, and Challenges
Applying Deep-Learning-Based Computer Vision to Wireless Communications: Methodologies, Opportunities, and ChallengesIEEE Open Journal of the Communications Society (OJ-COMSOC), 2020
Yu Tian
Gaofeng Pan
Mohamed-Slim Alouini
181
54
0
10 Jun 2020
From Federated to Fog Learning: Distributed Machine Learning over
  Heterogeneous Wireless Networks
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks
Seyyedali Hosseinalipour
Christopher G. Brinton
Vaneet Aggarwal
H. Dai
M. Chiang
FedML
117
12
0
07 Jun 2020
Optimization-driven Deep Reinforcement Learning for Robust Beamforming
  in IRS-assisted Wireless Communications
Optimization-driven Deep Reinforcement Learning for Robust Beamforming in IRS-assisted Wireless Communications
Jiaye Lin
Y. Zou
Xiaoru Dong
Shimin Gong
D. Hoang
Dusit Niyato
94
11
0
25 May 2020
Accelerating Deep Reinforcement Learning With the Aid of Partial Model:
  Energy-Efficient Predictive Video Streaming
Accelerating Deep Reinforcement Learning With the Aid of Partial Model: Energy-Efficient Predictive Video Streaming
Dong Liu
Jianyu Zhao
Chenyang Yang
L. Hanzo
118
1
0
21 Mar 2020
Viewport-Aware Deep Reinforcement Learning Approach for 360$^o$ Video
  Caching
Viewport-Aware Deep Reinforcement Learning Approach for 360o^oo Video CachingIEEE transactions on multimedia (TMM), 2020
P. Maniotis
N. Thomos
100
39
0
18 Mar 2020
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV
  with Deep Reinforcement Learning
Simultaneous Navigation and Radio Mapping for Cellular-Connected UAV with Deep Reinforcement LearningIEEE Transactions on Wireless Communications (TWC), 2020
Yong Zeng
Xiaoli Xu
Shi Jin
Rui Zhang
146
197
0
17 Mar 2020
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research
  Directions
Two Decades of AI4NETS-AI/ML for Data Networks: Challenges & Research DirectionsIEEE/IFIP Network Operations and Management Symposium (NOMS), 2020
P. Casas
GNN
138
10
0
03 Mar 2020
Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems
  Exploiting Deep Reinforcement Learning
Reconfigurable Intelligent Surface Assisted Multiuser MISO Systems Exploiting Deep Reinforcement LearningIEEE Journal on Selected Areas in Communications (JSAC), 2020
Chongwen Huang
Ronghong Mo
Chau Yuen
98
627
0
24 Feb 2020
Reinforcement learning for the privacy preservation and manipulation of
  eye tracking data
Reinforcement learning for the privacy preservation and manipulation of eye tracking data
Wolfgang Fuhl
Efe Bozkir
Enkelejda Kasneci
201
1
0
17 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
271
173
0
27 Jan 2020
A survey on Machine Learning-based Performance Improvement of Wireless
  Networks: PHY, MAC and Network layer
A survey on Machine Learning-based Performance Improvement of Wireless Networks: PHY, MAC and Network layer
M. Kulin
Tarik Kazaz
I. Moerman
E. De Poorter
151
77
0
13 Jan 2020
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines
Nikki Lijing Kuang
C. Leung
87
4
0
22 Nov 2019
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning
Buffer-aware Wireless Scheduling based on Deep Reinforcement LearningIEEE Wireless Communications and Networking Conference (WCNC), 2019
Chen Xu
Jian Wang
Tianhang Yu
Chuili Kong
Yourui Huangfu
Rong Li
Yiqun Ge
Jun Wang
OffRL
93
22
0
13 Nov 2019
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust
  between Human and Machine
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine
Weisi Guo
176
42
0
11 Nov 2019
Green Deep Reinforcement Learning for Radio Resource Management:
  Architecture, Algorithm Compression and Challenge
Green Deep Reinforcement Learning for Radio Resource Management: Architecture, Algorithm Compression and ChallengeIEEE Vehicular Technology Magazine (IEEE VTM), 2019
Zhiyong Du
Yansha Deng
Weisi Guo
A. Nallanathan
Qi-hui Wu
127
32
0
11 Oct 2019
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic
  Multichannel Access
A Deep Actor-Critic Reinforcement Learning Framework for Dynamic Multichannel AccessIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2019
Chen Zhong
Ziyang Lu
M. C. Gursoy
Senem Velipasalar
109
85
0
20 Aug 2019
A View on Deep Reinforcement Learning in System Optimization
A View on Deep Reinforcement Learning in System Optimization
Ameer Haj-Ali
Nesreen Ahmed
Theodore L. Willke
Joseph E. Gonzalez
Krste Asanović
Ion Stoica
OffRL
222
8
0
04 Aug 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model,
  Applications and Challenges
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and ChallengesIEEE Communications Surveys and Tutorials (COMST), 2019
Lei Lei
Yue Tan
Kan Zheng
Shiwen Liu
K. Zheng
Xuemin Shen
Shen
OffRL
281
233
0
22 Jul 2019
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoT
Voting-Based Multi-Agent Reinforcement Learning for Intelligent IoTIEEE Internet of Things Journal (IEEE IoT Journal), 2019
Yue Xu
Zengde Deng
Mengdi Wang
Wenjun Xu
Anthony Man-Cho So
Shuguang Cui
142
16
0
02 Jul 2019
A Reinforcement Learning Approach for the Multichannel Rendezvous
  Problem
A Reinforcement Learning Approach for the Multichannel Rendezvous Problem
Jen-Hung Wang
Ping-En Lu
Cheng-Shang Chang
D. Lee
59
7
0
02 Jul 2019
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems:
  Learn from a Digital Twin
Deep Learning for Hybrid 5G Services in Mobile Edge Computing Systems: Learn from a Digital TwinIEEE Transactions on Wireless Communications (TWC), 2019
Rui Dong
Changyang She
Wibowo Hardjawana
Yonghui Li
Branka Vucetic
100
194
0
30 Jun 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals,
  Technology Integration, and State-of-the-Art
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-ArtIEEE Access (IEEE Access), 2019
Quoc-Viet Pham
Fang Fang
H. Vu
Md. Jalil Piran
Mai Le
L. Le
Won Joo Hwang
Z. Ding
219
648
0
20 Jun 2019
Deep Reinforcement Learning for Cyber Security
Deep Reinforcement Learning for Cyber SecurityIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Thanh Thi Nguyen
Vijay Janapa Reddi
OffRLAI4CE
316
413
0
13 Jun 2019
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