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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
Cooperative Deep $Q$-learning Framework for Environments Providing Image
  Feedback
Cooperative Deep QQQ-learning Framework for Environments Providing Image FeedbackIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Krishnan Raghavan
Vignesh Narayanan
S. Jagannathan
VLMOffRL
103
3
0
28 Oct 2021
Deep Learning Aided Routing for Space-Air-Ground Integrated Networks
  Relying on Real Satellite, Flight, and Shipping Data
Deep Learning Aided Routing for Space-Air-Ground Integrated Networks Relying on Real Satellite, Flight, and Shipping DataIEEE wireless communications (WC), 2021
Dong Liu
Jiankang Zhang
Jingjing Cui
S. Ng
R. Maunder
L. Hanzo
77
32
0
28 Oct 2021
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access
  in Cognitive Networks
Deep Reinforcement Learning for Simultaneous Sensing and Channel Access in Cognitive NetworksIEEE Transactions on Wireless Communications (IEEE TWC), 2021
Yoel Bokobza
R. Dabora
Kobi Cohen
132
18
0
24 Oct 2021
DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge
  Computing
DeepEdge: A Deep Reinforcement Learning based Task Orchestrator for Edge Computing
Baris Yamansavascilar
A. C. Baktir
Cagatay Sonmez
Atay Ozgovde
Cem Ersoy
189
37
0
05 Oct 2021
Reinforcement Learning for Admission Control in Wireless Virtual Network
  Embedding
Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding
Haitham Afifi
Fabian Sauer
H. Karl
155
2
0
04 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative
  Survey
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey
Amjad Yousef Majid
Serge Saaybi
Tomas van Rietbergen
Vincent François-Lavet
R. V. Prasad
Chris Verhoeven
OffRL
246
84
0
28 Sep 2021
Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking
  for Smart Cities
Deep Reinforcement Learning-Based Long-Range Autonomous Valet Parking for Smart CitiesSocial Science Research Network (SSRN), 2021
Muhammad Khalid
Liang Wang
Kezhi Wang
Cunhua Pan
N. Aslam
Yue Cao
82
17
0
23 Sep 2021
Deep Reinforcement Learning Based Multidimensional Resource Management
  for Energy Harvesting Cognitive NOMA Communications
Deep Reinforcement Learning Based Multidimensional Resource Management for Energy Harvesting Cognitive NOMA Communications
Zhaoyuan Shi
Xianzhong Xie
Huabing Lu
Helin Yang
Jun Cai
Z. Ding
87
49
0
17 Sep 2021
Deep Reinforcement Learning for Wireless Resource Allocation Using
  Buffer State Information
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State InformationGlobal Communications Conference (GLOBECOM), 2021
Eike-Manuel Bansbach
Victor Eliachevitch
Laurent Schmalen
70
5
0
27 Aug 2021
Reinforcement Learning-powered Semantic Communication via Semantic
  Similarity
Reinforcement Learning-powered Semantic Communication via Semantic Similarity
Kun Lu
Rongpeng Li
Xianfu Chen
Zhifeng Zhao
Honggang Zhang
136
57
0
27 Aug 2021
Responsive Regulation of Dynamic UAV Communication Networks Based on
  Deep Reinforcement Learning
Responsive Regulation of Dynamic UAV Communication Networks Based on Deep Reinforcement Learning
Ran Zhang
Duc Minh Nguyen
Nguyen
Miao Wang
L. Cai
Xuemin
X. Shen
78
3
0
25 Aug 2021
A generalized stacked reinforcement learning method for sampled systems
A generalized stacked reinforcement learning method for sampled systemsIEEE Transactions on Automatic Control (IEEE TAC), 2021
Pavel Osinenko
D. Dobriborsci
Grigory Yaremenko
Georgiy Malaniya
OffRL
112
5
0
23 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and
  Analytics
A Survey on Deep Reinforcement Learning for Data Processing and AnalyticsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Qingpeng Cai
Can Cui
Yiyuan Xiong
Wei Wang
Zhongle Xie
Meihui Zhang
OffRL
225
44
0
10 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A
  Comprehensive Survey
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey
A. Abdellatif
N. Mhaisen
Z. Chkirbene
Amr M. Mohamed
A. Erbad
Mohsen Guizani
OffRLAI4TS
166
28
0
05 Aug 2021
Ensemble Consensus-based Representation Deep Reinforcement Learning for
  Hybrid FSO/RF Communication Systems
Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication SystemsOptics Communications (Opt. Commun.), 2021
Shagufta Henna
76
9
0
05 Aug 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
104
14
0
01 Aug 2021
Evaluating the progress of Deep Reinforcement Learning in the real
  world: aligning domain-agnostic and domain-specific research
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
J. Luis
E. Crawley
B. Cameron
OffRL
246
6
0
07 Jul 2021
Reinforcement Learning for Physical Layer Communications
Reinforcement Learning for Physical Layer Communications
P. Mary
V. Koivunen
C. Moy
AI4CE
138
3
0
22 Jun 2021
Modelling resource allocation in uncertain system environment through
  deep reinforcement learning
Modelling resource allocation in uncertain system environment through deep reinforcement learning
Neel Gandhi
Shakti Mishra
96
1
0
17 Jun 2021
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic
  Spectrum Access in Cognitive Radio Networks
Cooperative Multi-Agent Reinforcement Learning Based Distributed Dynamic Spectrum Access in Cognitive Radio Networks
Xiang Tan
Li Zhou
Haijun Wang
Yuli Sun
Haitao Zhao
Boon-Chong Seet
Jibo Wei
Victor C. M. Leung
100
80
0
17 Jun 2021
Fundamental Limits of Reinforcement Learning in Environment with
  Endogeneous and Exogeneous Uncertainty
Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty
Rongpeng Li
132
0
0
15 Jun 2021
Learning Autonomy in Management of Wireless Random Networks
Learning Autonomy in Management of Wireless Random Networks
Hoon Lee
Sang Hyun Lee
Tony Q.S. Quek
207
7
0
15 Jun 2021
Safe RAN control: A Symbolic Reinforcement Learning Approach
Safe RAN control: A Symbolic Reinforcement Learning Approach
Alexandros Nikou
A. Mujumdar
Vaishnavi Sundararajan
Marin Orlic
Aneta Vulgarakis Feljan
93
4
0
03 Jun 2021
Policies for the Dynamic Traveling Maintainer Problem with Alerts
Policies for the Dynamic Traveling Maintainer Problem with AlertsEuropean Journal of Operational Research (EJOR), 2021
P. Costa
Peter Verleijsdonk
Simon Voorberg
A. Akçay
S. Kapodistria
W. Jaarsveld
Yingqian Zhang
183
7
0
31 May 2021
Machine Learning for Security in Vehicular Networks: A Comprehensive
  Survey
Machine Learning for Security in Vehicular Networks: A Comprehensive SurveyIEEE Communications Surveys and Tutorials (COMST), 2021
Anum Talpur
M. Gurusamy
287
74
0
31 May 2021
Transferable Deep Reinforcement Learning Framework for Autonomous
  Vehicles with Joint Radar-Data Communications
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data CommunicationsIEEE Transactions on Communications (IEEE Trans. Commun.), 2021
Nguyen Quang Hieu
D. Hoang
Dusit Niyato
Ping Wang
Dong In Kim
Chau Yuen
104
32
0
28 May 2021
Deep Reinforcement Learning-based Methods for Resource Scheduling in
  Cloud Computing: A Review and Future Directions
Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future DirectionsArtificial Intelligence Review (AIR), 2021
Guangyao Zhou
Wenhong Tian
Rajkumar Buyya
219
139
0
10 May 2021
Dynamic Multichannel Access via Multi-agent Reinforcement Learning:
  Throughput and Fairness Guarantees
Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees
M. Sohaib
Jongjin Jeong
Sang-Woon Jeon
83
24
0
10 May 2021
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through
  Federated Data-Augmented Radio Fingerprinting
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio FingerprintingACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2021
Mauro Piva
G. Maselli
Francesco Restuccia
153
23
0
08 May 2021
Blockchain Systems, Technologies and Applications: A Methodology
  Perspective
Blockchain Systems, Technologies and Applications: A Methodology PerspectiveIEEE Communications Surveys and Tutorials (COMST), 2021
Bin Cao
Zixin Wang
Long Zhang
Daquan Feng
M. Peng
Lei Zhang
145
76
0
08 May 2021
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
Fast, Reliable, and Secure Drone Communication: A Comprehensive SurveyIEEE Communications Surveys and Tutorials (COMST), 2021
Vikas Hassija
V. Chamola
Adhar Agrawal
Adit Goyal
Nguyen Cong Luong
Dusit Niyato
F. R. Yu
Mohsen Guizani
134
170
0
04 May 2021
Discrete-Time Mean Field Control with Environment States
Discrete-Time Mean Field Control with Environment StatesIEEE Conference on Decision and Control (CDC), 2021
Kai Cui
Anam Tahir
Mark Sinzger
Heinz Koeppl
AI4CE
182
14
0
30 Apr 2021
ALF -- A Fitness-Based Artificial Life Form for Evolving Large-Scale
  Neural Networks
ALF -- A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks
Rune Krauss
M. Merten
Mirco Bockholt
R. Drechsler
61
1
0
16 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future
  Challenges
Distributed Learning in Wireless Networks: Recent Progress and Future ChallengesIEEE Journal on Selected Areas in Communications (JSAC), 2021
Mingzhe Chen
Deniz Gündüz
Kaibin Huang
Walid Saad
M. Bennis
Aneta Vulgarakis Feljan
H. Vincent Poor
229
485
0
05 Apr 2021
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning
  Approach
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning ApproachIEEE Transactions on Wireless Communications (IEEE TWC), 2021
Shaoyang Wang
Tiejun Lv
Wei Ni
N. Beaulieu
Y. Guo
90
49
0
29 Mar 2021
Smart Scheduling based on Deep Reinforcement Learning for Cellular
  Networks
Smart Scheduling based on Deep Reinforcement Learning for Cellular NetworksIEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021
Jian Wang
Chen Xu
Rong Li
Yiqun Ge
Jun Wang
AI4TS
111
3
0
22 Mar 2021
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme
Konstantin Avrachenkov
Vivek Borkar
H. Dolhare
K. Patil
141
9
0
10 Mar 2021
Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for
  Resilient Wireless Signal Classification
Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification
Salvatore D’oro
Francesco Restuccia
Tommaso Melodia
110
12
0
05 Mar 2021
Self-play Learning Strategies for Resource Assignment in Open-RAN
  Networks
Self-play Learning Strategies for Resource Assignment in Open-RAN Networks
Xiaoyang Wang
Jonathan D. Thomas
Robert Piechocki
S. Kapoor
Raúl Santos-Rodríguez
Arjun Parekh
117
27
0
03 Mar 2021
Sample Complexity and Overparameterization Bounds for Temporal
  Difference Learning with Neural Network Approximation
Sample Complexity and Overparameterization Bounds for Temporal Difference Learning with Neural Network ApproximationIEEE Transactions on Automatic Control (IEEE TAC), 2021
Semih Cayci
Siddhartha Satpathi
Niao He
F. I. R. Srikant
171
11
0
02 Mar 2021
Ensemble Bootstrapping for Q-Learning
Ensemble Bootstrapping for Q-LearningInternational Conference on Machine Learning (ICML), 2021
Oren Peer
Chen Tessler
Nadav Merlis
Ron Meir
155
52
0
28 Feb 2021
Deep Reinforcement Learning with Symmetric Prior for Predictive Power
  Allocation to Mobile Users
Deep Reinforcement Learning with Symmetric Prior for Predictive Power Allocation to Mobile Users
Jianyu Zhao
Chenyang Yang
53
0
0
10 Feb 2021
Robust Android Malware Detection System against Adversarial Attacks
  using Q-Learning
Robust Android Malware Detection System against Adversarial Attacks using Q-LearningInformation Systems Frontiers (ISF), 2020
Hemant Rathore
S. K. Sahay
Piyush Nikam
Mohit Sewak
AAML
165
69
0
27 Jan 2021
Learning to falsify automated driving vehicles with prior knowledge
Learning to falsify automated driving vehicles with prior knowledgeIFAC-PapersOnLine (IFAC-PapersOnLine), 2021
Andrea Favrin
Vladislav Nenchev
Angelo Cenedese
106
7
0
25 Jan 2021
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid
  Beamforming Design
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming DesignIEEE Journal on Selected Areas in Communications (JSAC), 2021
Chongwen Huang
Zhaohui Yang
G. C. Alexandropoulos
Kai Xiong
Li Wei
Chau Yuen
Zhaoyang Zhang
Merouane Debbah
262
361
0
22 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain
  Discrete-Time Systems
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems
Junya Ikemoto
T. Ushio
OffRL
141
5
0
13 Jan 2021
Sum-Rate Maximization for UAV-assisted Visible Light Communications
  using NOMA: Swarm Intelligence meets Machine Learning
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine LearningIEEE Internet of Things Journal (IEEE IoT J.), 2020
Quoc-Viet Pham
Thien Huynh-The
M. Alazab
Jun Zhao
Won Joo Hwang
170
96
0
10 Jan 2021
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
600
3
0
04 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey
Fusion of Federated Learning and Industrial Internet of Things: A Survey
S. Priya
Praveen Kumar
Quoc-Viet Pham
Kapal Dev
Reddy Maddikunta
Thippa Reddy
Thien Huynh-The
AI4CE
137
236
0
04 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications
A Survey on Deep Reinforcement Learning for Audio-Based ApplicationsArtificial Intelligence Review (AIR), 2021
S. Latif
Heriberto Cuayáhuitl
Farrukh Pervez
Fahad Shamshad
Hafiz Shehbaz Ali
Xiaoshi Zhong
OffRL
303
87
0
01 Jan 2021
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