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

18 October 2018

Dusit Niyato

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

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Title
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 11 3 0 25 Aug 2021
A generalized stacked reinforcement learning method for sampled systems Pavel Osinenko D. Dobriborsci Grigory Yaremenko Georgiy Malaniya OffRL 18 4 0 23 Aug 2021
A Survey on Deep Reinforcement Learning for Data Processing and Analytics Qingpeng Cai Can Cui Yiyuan Xiong Wei Wang Zhongle Xie Meihui Zhang OffRL 16 29 0 10 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad M. Guizani OffRL AI4TS 15 21 0 05 Aug 2021
Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems Shagufta Henna 11 5 0 05 Aug 2021
A Reinforcement Learning Approach for Scheduling in mmWave Networks M. Dogan Yahya H. Ezzeldin Christina Fragouli Addison W. Bohannon 14 10 0 01 Aug 2021
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 20 6 0 07 Jul 2021
Reinforcement Learning for Physical Layer Communications P. Mary V. Koivunen C. Moy AI4CE 18 3 0 22 Jun 2021
Modelling resource allocation in uncertain system environment through deep reinforcement learning Neel Gandhi Shakti Mishra 17 1 0 17 Jun 2021
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 16 58 0 17 Jun 2021
Fundamental Limits of Reinforcement Learning in Environment with Endogeneous and Exogeneous Uncertainty Rongpeng Li 15 0 0 15 Jun 2021
Learning Autonomy in Management of Wireless Random Networks Hoon Lee Sang Hyun Lee Tony Q. S. Quek 20 5 0 15 Jun 2021
Safe RAN control: A Symbolic Reinforcement Learning Approach Alexandros Nikou A. Mujumdar Vaishnavi Sundararajan Marin Orlic Aneta Vulgarakis Feljan 21 3 0 03 Jun 2021
Policies for the Dynamic Traveling Maintainer Problem with Alerts P. Costa Peter Verleijsdonk Simon Voorberg A. Akçay S. Kapodistria W. Jaarsveld Yingqian Zhang 23 6 0 31 May 2021
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey Anum Talpur M. Gurusamy 9 61 0 31 May 2021
Transferable Deep Reinforcement Learning Framework for Autonomous Vehicles with Joint Radar-Data Communications Nguyen Quang Hieu D. Hoang Dusit Niyato Ping Wang Dong In Kim Chau Yuen 21 28 0 28 May 2021
Deep Reinforcement Learning-based Methods for Resource Scheduling in Cloud Computing: A Review and Future Directions Guangyao Zhou Wenhong Tian Rajkumar Buyya 13 63 0 10 May 2021
Dynamic Multichannel Access via Multi-agent Reinforcement Learning: Throughput and Fairness Guarantees M. Sohaib Jongjin Jeong Sang-Woon Jeon 14 15 0 10 May 2021
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting Mauro Piva G. Maselli Francesco Restuccia 6 21 0 08 May 2021
Blockchain Systems, Technologies and Applications: A Methodology Perspective Bin Cao Zixin Wang Long Zhang Daquan Feng M. Peng Lei Zhang 17 61 0 08 May 2021
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey Vikas Hassija V. Chamola Adhar Agrawal Adit Goyal Nguyen Cong Luong Dusit Niyato F. R. Yu M. Guizani 32 136 0 04 May 2021
Discrete-Time Mean Field Control with Environment States Kai Cui Anam Tahir Mark Sinzger Heinz Koeppl AI4CE 8 13 0 30 Apr 2021
ALF -- A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks Rune Krauss M. Merten Mirco Bockholt R. Drechsler 6 1 0 16 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 19 401 0 05 Apr 2021
Joint Resource Management for MC-NOMA: A Deep Reinforcement Learning Approach Shaoyang Wang Tiejun Lv Wei Ni N. Beaulieu Y. Guo 6 44 0 29 Mar 2021
Smart Scheduling based on Deep Reinforcement Learning for Cellular Networks Jian Wang Chen Xu Rong Li Yiqun Ge J. Wang AI4TS 6 3 0 22 Mar 2021
Full Gradient DQN Reinforcement Learning: A Provably Convergent Scheme Konstantin Avrachenkov Vivek Borkar H. Dolhare K. Patil 14 8 0 10 Mar 2021
Can You Fix My Neural Network? Real-Time Adaptive Waveform Synthesis for Resilient Wireless Signal Classification Salvatore D’oro Francesco Restuccia Tommaso Melodia 11 11 0 05 Mar 2021
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 8 24 0 03 Mar 2021
Sample Complexity and Overparameterization Bounds for Temporal Difference Learning with Neural Network Approximation Semih Cayci Siddhartha Satpathi Niao He F. I. R. Srikant 21 9 0 02 Mar 2021
Ensemble Bootstrapping for Q-Learning Oren Peer Chen Tessler Nadav Merlis Ron Meir 16 42 0 28 Feb 2021
Deep Reinforcement Learning with Symmetric Prior for Predictive Power Allocation to Mobile Users Jianyu Zhao Chenyang Yang 13 0 0 10 Feb 2021
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning Hemant Rathore S. K. Sahay Piyush Nikam Mohit Sewak AAML 8 61 0 27 Jan 2021
Learning to falsify automated driving vehicles with prior knowledge Andrea Favrin Vladislav Nenchev Angelo Cenedese 6 6 0 25 Jan 2021
Multi-hop RIS-Empowered Terahertz Communications: A DRL-based Hybrid Beamforming Design Chongwen Huang Zhaohui Yang G. C. Alexandropoulos Kai Xiong Li Wei Chau Yuen Zhaoyang Zhang Merouane Debbah 21 324 0 22 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems Junya Ikemoto T. Ushio OffRL 14 5 0 13 Jan 2021
Sum-Rate Maximization for UAV-assisted Visible Light Communications using NOMA: Swarm Intelligence meets Machine Learning Viet Quoc Pham Thien Huynh-The M. Alazab Jun Zhao W. Hwang 27 86 0 10 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 27 2 0 04 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey S. Priya Praveen Kumar Viet Quoc Pham K. Dev Reddy Maddikunta Thippa Reddy Thien Huynh-The AI4CE 27 191 0 04 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Erik Cambria OffRL 39 73 0 01 Jan 2021
Scalable Deep Reinforcement Learning for Routing and Spectrum Access in Physical Layer Wei Cui Wei Yu 11 10 0 22 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni E. Hossain Xin Wang AI4CE 34 111 0 02 Dec 2020
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space Jernej Hribar Andrei Marinescu A. Chiumento Luiz DaSilva 17 17 0 19 Nov 2020
Adaptive Contention Window Design using Deep Q-learning Abhishek Kumar Gunjan Verma Chirag R. Rao A. Swami Santiago Segarra 6 34 0 18 Nov 2020
Deep reinforcement learning for RAN optimization and control Yu Chen Jie Chen G. Krishnamurthi Huijing Yang Huahui Wang Wenjie Zhao 19 1 0 09 Nov 2020
Single and Multi-Agent Deep Reinforcement Learning for AI-Enabled Wireless Networks: A Tutorial Amal Feriani E. Hossain 16 236 0 06 Nov 2020
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design J. Luis E. Crawley B. Cameron 9 6 0 15 Oct 2020
Deep-Reinforcement-Learning-Based Scheduling with Contiguous Resource Allocation for Next-Generation Cellular Systems Shu Sun Xiaofeng Li 6 1 0 11 Oct 2020
SREC: Proactive Self-Remedy of Energy-Constrained UAV-Based Networks via Deep Reinforcement Learning Ran Zhang Miao Wang L. Cai 7 6 0 17 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 22 79 0 17 Sep 2020