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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
Formally Explaining Neural Networks within Reactive Systems
Formally Explaining Neural Networks within Reactive SystemsFormal Methods in Computer-Aided Design (FMCAD), 2023
Shahaf Bassan
Guy Amir
Davide Corsi
Idan Refaeli
Guy Katz
AAML
384
22
0
31 Jul 2023
Information-Based Heavy Hitters for Real-Time DNS Data Exfiltration
  Detection and Prevention
Information-Based Heavy Hitters for Real-Time DNS Data Exfiltration Detection and PreventionNetwork and Distributed System Security Symposium (NDSS), 2023
Yarin Ozery
Asaf Nadler
A. Shabtai
211
8
0
05 Jul 2023
Graph Agent Network: Empowering Nodes with Decentralized Communications
  Capabilities for Adversarial Resilience
Graph Agent Network: Empowering Nodes with Decentralized Communications Capabilities for Adversarial ResilienceAAAI Conference on Artificial Intelligence (AAAI), 2023
Ao Liu
Wenshan Li
Tao Li
Beibei Li
Hanyuan Huang
Guangquan Xu
Pan Zhou
AAML
167
0
0
12 Jun 2023
Fast Context Adaptation in Cost-Aware Continual Learning
Fast Context Adaptation in Cost-Aware Continual LearningIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2023
Seyyidahmed Lahmer
Federico Mason
Federico Chiariotti
Andrea Zanella
179
3
0
06 Jun 2023
Physical Layer Authentication and Security Design in the Machine
  Learning Era
Physical Layer Authentication and Security Design in the Machine Learning EraIEEE Communications Surveys and Tutorials (COMST), 2023
T. M. Hoang
Alireza Vahid
H. Tuan
L. Hanzo
292
45
0
16 May 2023
Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A
  Multi-Agent Reinforcement Learning Approach
Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning ApproachGlobal Communications Conference (GLOBECOM), 2023
Siyue Zhang
Minrui Xu
Wei Yang Bryan Lim
Dusit Niyato
76
16
0
17 Apr 2023
Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning
  Approach
Active RIS-aided EH-NOMA Networks: A Deep Reinforcement Learning ApproachIEEE Transactions on Communications (IEEE Trans. Commun.), 2023
Zhaoyuan Shi
Huabing Lu
Xianzhong Xie
Helin Yang
Chongwen Huang
Jun Cai
Zhiguo Ding
74
22
0
11 Apr 2023
Distributed Multi-Agent Deep Q-Learning for Fast Roaming in IEEE
  802.11ax Wi-Fi Systems
Distributed Multi-Agent Deep Q-Learning for Fast Roaming in IEEE 802.11ax Wi-Fi SystemsConsumer Communications and Networking Conference (CCNC), 2023
Ting Wang
Li-Hsiang Shen
Kai-Ten Feng
57
3
0
25 Mar 2023
Power and Interference Control for VLC-Based UDN: A Reinforcement
  Learning Approach
Power and Interference Control for VLC-Based UDN: A Reinforcement Learning Approach
Xiaorui Tang
Sicong Liu
64
1
0
09 Mar 2023
Virtual Reality in Metaverse over Wireless Networks with User-centered
  Deep Reinforcement Learning
Virtual Reality in Metaverse over Wireless Networks with User-centered Deep Reinforcement Learning
Wen-li Yu
Terence Jie Chua
Junfeng Zhao
EgoVOffRL
145
6
0
08 Mar 2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for
  Convex and Non-convex Problems
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
Ting-Jui Chang
Sapana Chaudhary
D. Kalathil
Shahin Shahrampour
325
6
0
23 Feb 2023
Robot path planning using deep reinforcement learning
Robot path planning using deep reinforcement learning
Miguel Quinones-Ramirez
Jorge Ríos-Martínez
Víctor Uc Cetina
SSL
232
10
0
17 Feb 2023
Digital Twin-Aided Learning for Managing Reconfigurable Intelligent
  Surface-Assisted, Uplink, User-Centric Cell-Free Systems
Digital Twin-Aided Learning for Managing Reconfigurable Intelligent Surface-Assisted, Uplink, User-Centric Cell-Free SystemsIEEE Journal on Selected Areas in Communications (JSAC), 2023
Ying-Kai Cui
Tiejun Lv
Wei Ni
Abbas Jamalipour
106
22
0
10 Feb 2023
Generalization of Deep Reinforcement Learning for Jammer-Resilient
  Frequency and Power Allocation
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power AllocationIEEE Communications Letters (IEEE Commun. Lett.), 2023
Swatantra Kafle
Jithin Jagannath
Zackary Kane
Noor Biswas
P. Kumar
Anu Jagannath
229
1
0
04 Feb 2023
Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning
  Approach
Privacy-Aware Load Balancing in Fog Networks: A Reinforcement Learning Approach
Maad Ebrahim
A. Hafid
127
9
0
23 Jan 2023
AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics
AccDecoder: Accelerated Decoding for Neural-enhanced Video AnalyticsIEEE Conference on Computer Communications (IEEE INFOCOM), 2023
Tingting Yuan
Liang Mi
Weijun Wang
Haipeng Dai
Xiaoming Fu
176
19
0
20 Jan 2023
Mutation Testing of Deep Reinforcement Learning Based on Real Faults
Mutation Testing of Deep Reinforcement Learning Based on Real FaultsInternational Conference on Information Control Systems & Technologies (ICICST), 2023
Florian Tambon
Vahid Majdinasab
Amin Nikanjam
Foutse Khomh
G. Antoniol
262
11
0
13 Jan 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Machine Learning for Large-Scale Optimization in 6G Wireless NetworksIEEE Communications Surveys and Tutorials (COMST), 2023
Yandong Shi
Lixiang Lian
Yuanming Shi
Zixin Wang
Yong Zhou
Liqun Fu
Lin Bai
Jun Zhang
Wei Zhang
AI4CE
255
143
0
03 Jan 2023
New Challenges in Reinforcement Learning: A Survey of Security and
  Privacy
New Challenges in Reinforcement Learning: A Survey of Security and PrivacyArtificial Intelligence Review (Artif Intell Rev), 2022
Yunjiao Lei
Dayong Ye
Sheng Shen
Yulei Sui
Tianqing Zhu
Wanlei Zhou
336
26
0
31 Dec 2022
The Cost of Learning: Efficiency vs. Efficacy of Learning-Based RRM for
  6G
The Cost of Learning: Efficiency vs. Efficacy of Learning-Based RRM for 6G
Seyyidahmed Lahmer
Federico Chiariotti
Andrea Zanella
162
1
0
30 Nov 2022
Analysis of Anomalous Behavior in Network Systems Using Deep
  Reinforcement Learning with CNN Architecture
Analysis of Anomalous Behavior in Network Systems Using Deep Reinforcement Learning with CNN Architecture
Mohammad Hossein Modirrousta
Parisa Forghani
M. A. Shoorehdeli
176
1
0
29 Nov 2022
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of
  Recent Learning Algorithms
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning AlgorithmsIEEE Open Journal of Vehicular Technology (OJVT), 2022
A. H. Arani
Peng Hu
Yeying Zhu
172
14
0
27 Nov 2022
Machine Learning-Aided Operations and Communications of Unmanned Aerial
  Vehicles: A Contemporary Survey
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary SurveyIEEE Communications Surveys and Tutorials (COMST), 2022
Harrison Kurunathan
Hailong Huang
Kai Li
Wei Ni
Ekram Hossain
192
127
0
07 Nov 2022
DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a
  Real Steam Turbine System
DQLAP: Deep Q-Learning Recommender Algorithm with Update Policy for a Real Steam Turbine System
M. Modirrousta
M. A. Shoorehdeli
M. Yari
A. Ghahremani
137
2
0
12 Oct 2022
Reinforcement Learning for Cognitive Delay/Disruption Tolerant Network
  Node Management in an LEO-based Satellite Constellation
Reinforcement Learning for Cognitive Delay/Disruption Tolerant Network Node Management in an LEO-based Satellite Constellation
Xue Sun
Chang‐Jiang Li
Lei Yan
Suzhi Cao
50
2
0
27 Sep 2022
ProAPT: Projection of APT Threats with Deep Reinforcement Learning
ProAPT: Projection of APT Threats with Deep Reinforcement Learning
M. Dehghan
B. Sadeghiyan
E. Khosravian
Alireza Sedighi Moghaddam
Farshid Nooshi
140
8
0
15 Sep 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning
A Review of the Convergence of 5G/6G Architecture and Deep Learning
O. Odeyomi
Olubiyi O. Akintade
T. Olowu
G. Záruba
AILaw3DVAI4TS
200
1
0
16 Aug 2022
Multi-Agent Deep Reinforcement Learning for Cost- and Delay-Sensitive
  Virtual Network Function Placement and Routing
Multi-Agent Deep Reinforcement Learning for Cost- and Delay-Sensitive Virtual Network Function Placement and RoutingIEEE Transactions on Communications (IEEE Trans. Commun.), 2022
Shaoyang Wang
Chau Yuen
Wei Ni
Yong Liang Guan
Tiejun Lv
109
31
0
24 Jun 2022
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on
  Traffic-Aware Long-Short Term Memory Prediction
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory PredictionIEEE Internet of Things Journal (IEEE IoT J.), 2022
David E. Ruíz-Guirola
Carlos A. Rodríguez‐López
Samuel Montejo-Sánchez
R. Souza
Onel L. A. López
Hirley Alves
47
24
0
13 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing:
  Semantic Communication, Edge Computing, and Wireless Sensing
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless SensingIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
301
537
0
01 Jun 2022
Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review
Deep Learning Methods for Fingerprint-Based Indoor Positioning: A ReviewJournal of Location Based Services (JLBS), 2020
Fahad Al-homayani
Mohammad H. Mahoor
214
79
0
30 May 2022
Blind Estimation of a Doubly Selective OFDM Channel: A Deep Learning
  Algorithm and Theory
Blind Estimation of a Doubly Selective OFDM Channel: A Deep Learning Algorithm and Theory
T. Getu
N. Golmie
D. Griffith
202
2
0
30 May 2022
MetaSlicing: A Novel Resource Allocation Framework for Metaverse
MetaSlicing: A Novel Resource Allocation Framework for MetaverseIEEE Transactions on Mobile Computing (IEEE TMC), 2022
N. Chu
D. Hoang
Diep N. Nguyen
Khoa T. Phan
E. Dutkiewicz
Dusist Niyato
Tao Shu
286
61
0
23 May 2022
A Comprehensive Study on Artificial Intelligence Algorithms to Implement
  Safety Using Communication Technologies
A Comprehensive Study on Artificial Intelligence Algorithms to Implement Safety Using Communication Technologies
Rafia Inam
Alberto Hata
Vlasjov Prifti
Sara Abbaspour Asadollah
247
3
0
17 May 2022
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning
A Temporal-Pattern Backdoor Attack to Deep Reinforcement LearningGlobal Communications Conference (GLOBECOM), 2022
Yinbo Yu
Jiajia Liu
Shouqing Li
Ke Huang
Xudong Feng
AAML
184
20
0
05 May 2022
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement
  Learning on Embedded Software Defined Radio
MR-iNet Gym: Framework for Edge Deployment of Deep Reinforcement Learning on Embedded Software Defined Radio
Jithin Jagannath
Kian Hamedani
Collin Farquhar
Keyvan Ramezanpour
Anu Jagannath
237
7
0
09 Apr 2022
Aerial Computing: A New Computing Paradigm, Applications, and Challenges
Aerial Computing: A New Computing Paradigm, Applications, and ChallengesIEEE Internet of Things Journal (IEEE IoT J.), 2022
Quoc-Viet Pham
Rukhsana Ruby
Fang Fang
Dinh C. Nguyen
Zhaohui Yang
Mai Le
Zhiguo Ding
Won Joo Hwang
253
69
0
05 Apr 2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial NetworksIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2022
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
185
43
0
09 Mar 2022
Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT
  Assignment and Dynamic Resource Allocation in Next-Generation HetNets
Hierarchical Multi-Agent DRL-Based Framework for Joint Multi-RAT Assignment and Dynamic Resource Allocation in Next-Generation HetNetsIEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2022
Abdulmalik Alwarafy
Bekir Sait Ciftler
Mohamed M. Abdallah
Mounira Hamdi
N. Al-Dhahir
84
34
0
28 Feb 2022
Bridging the Urban-Rural Connectivity Gap through Intelligent Space,
  Air, and Ground Networks
Bridging the Urban-Rural Connectivity Gap through Intelligent Space, Air, and Ground Networks
Fares Fourati
S. Alsamhi
Mohamed-Slim Alouini
112
12
0
25 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges
Reinforcement Learning in Practice: Opportunities and Challenges
Yuxi Li
OffRL
281
23
0
23 Feb 2022
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge
  Intelligence
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge IntelligenceIEEE Access (IEEE Access), 2022
Pengjin Wei
Kun Guo
Ye Li
Jue Wang
W. Feng
Shi Jin
Ning Ge
Ying-Chang Liang
405
54
0
27 Jan 2022
Multi-Agent Adversarial Attacks for Multi-Channel Communications
Multi-Agent Adversarial Attacks for Multi-Channel CommunicationsAdaptive Agents and Multi-Agent Systems (AAMAS), 2022
Juncheng Dong
Suya Wu
Mohammadreza Soltani
Vahid Tarokh
AAML
177
3
0
22 Jan 2022
Deep reinforcement learning under signal temporal logic constraints
  using Lagrangian relaxation
Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxationIEEE Access (IEEE Access), 2022
Junya Ikemoto
T. Ushio
369
15
0
21 Jan 2022
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC
  Codes
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC CodesIEEE Transactions on Communications (IEEE Trans. Commun.), 2021
Salman Habib
Allison Beemer
Joerg Kliewer
326
7
0
27 Dec 2021
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
The Partially Observable Asynchronous Multi-Agent Cooperation Challenge
Meng Yao
Qiyue Yin
Jun Yang
Tongtong Yu
S. Shen
Junge Zhang
Bin Liang
Kaiqi Huang
152
5
0
07 Dec 2021
Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU
  Neural Networks
Error Bounds for a Matrix-Vector Product Approximation with Deep ReLU Neural Networks
T. Getu
204
2
0
25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
306
540
0
24 Nov 2021
Safe Online Convex Optimization with Unknown Linear Safety Constraints
Safe Online Convex Optimization with Unknown Linear Safety ConstraintsAAAI Conference on Artificial Intelligence (AAAI), 2021
Sapana Chaudhary
D. Kalathil
137
19
0
14 Nov 2021
Reinforcement Learning for Security-Aware Computation Offloading in
  Satellite Networks
Reinforcement Learning for Security-Aware Computation Offloading in Satellite NetworksIEEE Internet of Things Journal (IEEE IoT Journal), 2021
Saurav Sthapit
Subhash Lakshminarayana
Ligang He
Gregory Epiphaniou
Carsten Maple
249
27
0
09 Nov 2021
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