A Brief Survey of Deep Reinforcement Learning

19 August 2017

Anil Anthony Bharath

Papers citing "A Brief Survey of Deep Reinforcement Learning"

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Title
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 24 49 0 20 Oct 2021
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 52 54 0 28 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 28 91 0 14 Sep 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
Advances in Trajectory Optimization for Space Vehicle Control Danylo Malyuta Yue Yu Purnanand Elango Behçet Açikmese 11 115 0 05 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 14 9 0 04 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
A Survey on Human-aware Robot Navigation Ronja Möller Antonino Furnari S. Battiato Aki Härmä G. Farinella 31 87 0 22 Jun 2021
Learning Knowledge Graph-based World Models of Textual Environments Prithviraj Ammanabrolu Mark O. Riedl 3DV 24 30 0 17 Jun 2021
Reinforcement learning for pursuit and evasion of microswimmers at low Reynolds number Francesco Borra Luca Biferale M. Cencini A. Celani 11 21 0 16 Jun 2021
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works A. Shoeibi Parisa Moridian Marjane Khodatars Navid Ghassemi M. Jafari ... Juan M Gorriz Javier Ramírez Abbas Khosravi S. Nahavandi U. Acharya 16 49 0 29 May 2021
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning Mohammad Akbari Mohammad Reza Abedi Roghayeh Joda Mohsen Pourghasemian Nader Mokari Melike Erol-Kantarci 21 53 0 10 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
A Deep Reinforcement Learning Approach for the Meal Delivery Problem H. Jahanshahi Aysun Bozanta Mucahit Cevik E. M. Kavuk Ayse Tosun Misirli Sibel B. Sonuc Bilgin Kosucu Ayse Basar 29 27 0 24 Apr 2021
XAI-N: Sensor-based Robot Navigation using Expert Policies and Decision Trees Aaron M. Roth Jing Liang Dinesh Manocha 33 8 0 22 Apr 2021
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu C. Tantithamthavorn Li Li Yepang Liu AAML 25 77 0 09 Mar 2021
Data-driven control of room temperature and bidirectional EV charging using deep reinforcement learning: simulations and experiments B. Svetozarevic C. Baumann S. Muntwiler L. Di Natale M. Zeilinger Philipp Heer AI4CE 14 34 0 02 Mar 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 37 73 0 01 Jan 2021
Transfer Learning as an Enabler of the Intelligent Digital Twin Benjamin Maschler Dominik I. Braun N. Jazdi M. Weyrich AI4CE 11 39 0 03 Dec 2020
Specialization in Hierarchical Learning Systems Heinke Hihn Daniel A. Braun 19 16 0 03 Nov 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 22 79 0 17 Sep 2020
Deep Actor-Critic Learning for Distributed Power Control in Wireless Mobile Networks Yasar Sinan Nasir Dongning Guo 9 23 0 14 Sep 2020
Widening the Pipeline in Human-Guided Reinforcement Learning with Explanation and Context-Aware Data Augmentation L. Guan Mudit Verma Sihang Guo Ruohan Zhang Subbarao Kambhampati 27 42 0 26 Jun 2020
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey Rentao Gu Zeyuan Yang Yuefeng Ji 11 109 0 11 Mar 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Anji Liu Yitao Liang Guy Van den Broeck OffRL 4 3 0 25 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 17 326 0 22 Feb 2020
Proportional integral derivative controller assisted reinforcement learning for path following by autonomous underwater vehicles Simen Theie Havenstrom Camilla Sterud Adil Rasheed Omer San 11 3 0 03 Feb 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 24 81 0 02 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games Kun Shao Zhentao Tang Yuanheng Zhu Nannan Li Dongbin Zhao OffRL AI4TS 17 188 0 23 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 20 506 0 23 Dec 2019
Stigmergic Independent Reinforcement Learning for Multi-Agent Collaboration Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang 22 24 0 28 Nov 2019
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine Weisi Guo 9 40 0 11 Nov 2019
Thompson Sampling via Local Uncertainty Zhendong Wang Mingyuan Zhou 13 18 0 30 Oct 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 10 36 0 06 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 63 604 0 02 Sep 2019
Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challenges Lei Lei Yue Tan Kan Zheng Shiwen Liu K. Zheng Xuemin Shen Shen OffRL 17 202 0 22 Jul 2019
Deep Learning based Wireless Resource Allocation with Application to Vehicular Networks Le Liang Hao Ye Guanding Yu Geoffrey Ye Li 14 194 0 07 Jul 2019
Conservative Q-Improvement: Reinforcement Learning for an Interpretable Decision-Tree Policy Aaron M. Roth Nicholay Topin Pooyan Jamshidi Manuela Veloso OffRL 27 47 0 02 Jul 2019
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art Viet Quoc Pham Fang Fang H. Vu Md. Jalil Piran Mai Le L. Le W. Hwang Z. Ding 16 595 0 20 Jun 2019
Deep Reinforcement Learning for Cyber Security Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 8 311 0 13 Jun 2019
Exposing GAN-synthesized Faces Using Landmark Locations Xin Yang Yuezun Li H. Qi Siwei Lyu GAN CVBM 12 107 0 30 Mar 2019
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach Nitthilan Kanappan Jayakodi Anwesha Chatterjee Wonje Choi J. Doppa P. Pande 11 27 0 29 Jan 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning Pablo Hernandez-Leal Bilal Kartal Matthew E. Taylor OffRL 25 549 0 12 Oct 2018
VPE: Variational Policy Embedding for Transfer Reinforcement Learning Isac Arnekvist Danica Kragic J. A. Stork OffRL 9 37 0 10 Sep 2018
Learning an Approximate Model Predictive Controller with Guarantees Michael Hertneck Johannes Köhler Sebastian Trimpe Frank Allgöwer 18 219 0 11 Jun 2018
Adversarial Reinforcement Learning Framework for Benchmarking Collision Avoidance Mechanisms in Autonomous Vehicles Vahid Behzadan Arslan Munir AAML 17 50 0 04 Jun 2018
Revisiting Small Batch Training for Deep Neural Networks Dominic Masters Carlo Luschi ODL 21 657 0 20 Apr 2018
Artificial Intelligence Enabled Software Defined Networking: A Comprehensive Overview Majd Latah Levent Toker AI4CE 14 98 0 19 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 16 1,303 0 12 Mar 2018
Deep Reinforcement Learning for Join Order Enumeration Ryan Marcus Olga Papaemmanouil 14 229 0 28 Feb 2018