ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.07862
  4. Cited By
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
ArXivPDFHTML

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

50 / 203 papers shown
Title
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
23
5
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
17
5
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 Systems
Ying-Kai Cui
Tiejun Lv
Wei Ni
Abbas Jamalipour
19
6
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 Allocation
Swatantra Kafle
Jithin Jagannath
Zackary Kane
Noor Biswas
P. Kumar
Anu Jagannath
23
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
27
4
0
23 Jan 2023
AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics
AccDecoder: Accelerated Decoding for Neural-enhanced Video Analytics
Tingting Yuan
Liang Mi
Weijun Wang
Haipeng Dai
Xiaoming Fu
27
16
0
20 Jan 2023
Mutation Testing of Deep Reinforcement Learning Based on Real Faults
Mutation Testing of Deep Reinforcement Learning Based on Real Faults
Florian Tambon
Vahid Majdinasab
Amin Nikanjam
Foutse Khomh
G. Antoniol
28
7
0
13 Jan 2023
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Machine Learning for Large-Scale Optimization in 6G Wireless Networks
Yandong Shi
Lixiang Lian
Yuanming Shi
Zixin Wang
Yong Zhou
Liqun Fu
Lin Bai
Jun Zhang
Wei Zhang
AI4CE
39
76
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 Privacy
Yunjiao Lei
Dayong Ye
Sheng Shen
Yulei Sui
Tianqing Zhu
Wanlei Zhou
33
18
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
26
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
32
0
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 Algorithms
A. H. Arani
Peng Hu
Yeying Zhu
24
4
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 Survey
Harrison Kurunathan
Hailong Huang
Kai Li
Wei Ni
E. Hossain
15
70
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
16
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
19
1
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
13
4
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
AILaw
3DV
AI4TS
23
1
0
16 Aug 2022
Learning Mean-Field Control for Delayed Information Load Balancing in
  Large Queuing Systems
Learning Mean-Field Control for Delayed Information Load Balancing in Large Queuing Systems
Anam Tahir
Kai Cui
Heinz Koeppl
21
2
0
09 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 Routing
Shaoyang Wang
Chau Yuen
Wei Ni
Yong Liang Guan
Tiejun Lv
16
20
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 Prediction
David E. Ruíz-Guirola
Carlos A. Rodríguez‐López
Samuel Montejo-Sánchez
R. Souza
Onel L. A. López
Hirley Alves
17
19
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 Sensing
Wei Xu
Zhaohui Yang
Derrick Wing Kwan Ng
Marco Levorato
Yonina C. Eldar
Mérouane Debbah
28
398
0
01 Jun 2022
Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review
Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review
Fahad Al-homayani
Mohammad H. Mahoor
36
64
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
22
2
0
30 May 2022
MetaSlicing: A Novel Resource Allocation Framework for Metaverse
MetaSlicing: A Novel Resource Allocation Framework for Metaverse
N. Chu
D. Hoang
Diep N. Nguyen
Khoa T. Phan
E. Dutkiewicz
Dusist Niyato
Tao Shu
30
45
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
14
2
0
17 May 2022
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning
A Temporal-Pattern Backdoor Attack to Deep Reinforcement Learning
Yinbo Yu
Jiajia Liu
Shouqing Li
Ke Huang
Xudong Feng
AAML
36
11
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
29
6
0
09 Apr 2022
Aerial Computing: A New Computing Paradigm, Applications, and Challenges
Aerial Computing: A New Computing Paradigm, Applications, and Challenges
Viet Quoc Pham
Rukhsana Ruby
Fang Fang
Dinh C. Nguyen
Zhaohui Yang
Mai Le
Zhiguo Ding
W. Hwang
24
55
0
05 Apr 2022
Machine Learning in NextG Networks via Generative Adversarial Networks
Machine Learning in NextG Networks via Generative Adversarial Networks
E. Ayanoglu
Kemal Davaslioglu
Y. Sagduyu
GAN
21
34
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 HetNets
Abdulmalik Alwarafy
Bekir Sait Ciftler
Mohamed M. Abdallah
Mounira Hamdi
N. Al-Dhahir
18
22
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
18
9
0
25 Feb 2022
Reinforcement Learning in Practice: Opportunities and Challenges
Reinforcement Learning in Practice: Opportunities and Challenges
Yuxi Li
OffRL
36
9
0
23 Feb 2022
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge
  Intelligence
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
Pengjin Wei
Kun Guo
Ye Li
Jue Wang
W. Feng
Shi Jin
Ning Ge
Ying-Chang Liang
28
45
0
27 Jan 2022
Multi-Agent Adversarial Attacks for Multi-Channel Communications
Multi-Agent Adversarial Attacks for Multi-Channel Communications
Juncheng Dong
Suya Wu
Mohammadreza Soltani
Vahid Tarokh
AAML
46
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 relaxation
Junya Ikemoto
T. Ushio
25
9
0
21 Jan 2022
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC
  Codes
RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes
Salman Habib
Allison Beemer
Joerg Kliewer
25
4
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
19
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
27
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
34
416
0
24 Nov 2021
Safe Online Convex Optimization with Unknown Linear Safety Constraints
Safe Online Convex Optimization with Unknown Linear Safety Constraints
Sapana Chaudhary
D. Kalathil
26
18
0
14 Nov 2021
Reinforcement Learning for Security-Aware Computation Offloading in
  Satellite Networks
Reinforcement Learning for Security-Aware Computation Offloading in Satellite Networks
Saurav Sthapit
Subhash Lakshminarayana
Ligang He
Gregory Epiphaniou
Carsten Maple
24
19
0
09 Nov 2021
Cooperative Deep $Q$-learning Framework for Environments Providing Image
  Feedback
Cooperative Deep QQQ-learning Framework for Environments Providing Image Feedback
Krishnan Raghavan
Vignesh Narayanan
S. Jagannathan
VLM
OffRL
26
1
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 Data
Dong Liu
Jiankang Zhang
Jingjing Cui
S. Ng
R. Maunder
L. Hanzo
20
27
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 Networks
Yoel Bokobza
R. Dabora
Kobi Cohen
33
13
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
6
23
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
18
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
60
54
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 Cities
Muhammad Khalid
Liang Wang
Kezhi Wang
Cunhua Pan
N. Aslam
Yue Cao
18
10
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
16
37
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 Information
Eike-Manuel Bansbach
Victor Eliachevitch
Laurent Schmalen
25
4
0
27 Aug 2021
Previous
12345
Next