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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
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search Hu Zhang Peng Yang Yang Yu Mingjiang Li K. Tang 126 21 0 08 Sep 2020
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment Jithin Jagannath Anu Jagannath Sean Furman Tyler Gwin 84 25 0 07 Sep 2020
Deep Q-Learning: Theoretical Insights from an Asymptotic Analysis Arunselvan Ramaswamy Eyke Hüllermeier 34 4 0 25 Aug 2020
ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation Fei Xia Chengshu Li Roberto Martín-Martín Or Litany Alexander Toshev Silvio Savarese 79 79 0 18 Aug 2020
A Survey on Reinforcement Learning for Combinatorial Optimization Yunhao Yang Andrew Whinston 96 22 0 17 Aug 2020
Multi-Agent Deep Reinforcement Learning enabled Computation Resource Allocation in a Vehicular Cloud Network Shilin Xu Caili Guo R. Hu Y. Qian 56 6 0 14 Aug 2020
FlexPool: A Distributed Model-Free Deep Reinforcement Learning Algorithm for Joint Passengers & Goods Transportation Kaushik Manchella A. Umrawal Vaneet Aggarwal 77 62 0 27 Jul 2020
A Review on Computational Intelligence Techniques in Cloud and Edge Computing M. Asim Yong Wang Kezhi Wang Pei-qiu Huang 65 73 0 27 Jul 2020
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval S. Rehman M. Waqas Shanshan Tu Anis Koubaa O. Rehman Jawad Ahmad Muhammad Hanif Zhu Han 41 6 0 21 Jul 2020
Understanding Implicit Regularization in Over-Parameterized Single Index Model Jianqing Fan Zhuoran Yang Mengxin Yu 81 18 0 16 Jul 2020
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control Jinqiu Guo 23 1 0 02 Jul 2020
Falsification-Based Robust Adversarial Reinforcement Learning Xiao Wang Saasha Nair Matthias Althoff AAML 64 19 0 01 Jul 2020
Reinforcement Learning Based Handwritten Digit Recognition with Two-State Q-Learning A. M. Hafiz G. M. Bhat OffRL 25 6 0 28 Jun 2020
A Unifying Framework for Reinforcement Learning and Planning Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 131 9 0 26 Jun 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 136 43 0 26 Jun 2020
The NetHack Learning Environment Heinrich Küttler Nantas Nardelli Alexander H. Miller Roberta Raileanu Marco Selvatici Edward Grefenstette Tim Rocktaschel 125 181 0 24 Jun 2020
Deep Reinforcement Learning Control for Radar Detection and Tracking in Congested Spectral Environments C. Thornton Mark A. Kozy R. M. Buehrer A. Martone K. Sherbondy 47 85 0 23 Jun 2020
Zeroth-order Deterministic Policy Gradient Harshat Kumar Dionysios S. Kalogerias George J. Pappas Alejandro Ribeiro OffRL 33 14 0 12 Jun 2020
Balancing a CartPole System with Reinforcement Learning -- A Tutorial S. Kumar 43 24 0 08 Jun 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 64 164 0 25 May 2020
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking N. Vesselinova Rebecca Steinert Daniel F. Perez-Ramirez Magnus Boman GNN AI4CE 87 146 0 22 May 2020
Differential Mapping Spiking Neural Network for Sensor-Based Robot Control Omar Zahra Silvia Tolu D. Navarro-Alarcon 46 16 0 20 May 2020
Safe Learning for Near Optimal Scheduling G. Geeraerts Debraj Chakraborty Shibashis Guha Guillermo A. Pérez Jean-François Raskin 34 4 0 19 May 2020
Attacking Black-box Recommendations via Copying Cross-domain User Profiles Wenqi Fan Hanyu Wang Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Jiliang Tang Qing Li MLAU AAML 71 78 0 17 May 2020
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems Alexis Asseman Nicolas Antoine A. Ozcan 29 4 0 10 May 2020
Is Deep Reinforcement Learning Ready for Practical Applications in Healthcare? A Sensitivity Analysis of Duel-DDQN for Hemodynamic Management in Sepsis Patients Mingyu Lu Zachary Shahn Daby M. Sow Finale Doshi-Velez Li-wei H. Lehman OOD OffRL 67 3 0 08 May 2020
Synthesizing Safe Policies under Probabilistic Constraints with Reinforcement Learning and Bayesian Model Checking Lenz Belzner M. Wirsing 121 4 0 08 May 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration Aidan Curtis Minjian Xin Dilip Arumugam Kevin T. Feigelis Daniel L. K. Yamins 36 6 0 22 Apr 2020
Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms Federico A. Galatolo M. G. Cimino G. Vaglini 51 3 0 08 Apr 2020
An Application of Deep Reinforcement Learning to Algorithmic Trading Thibaut Théate D. Ernst AIFin 97 167 0 07 Apr 2020
Reinforcement Learning Architectures: SAC, TAC, and ESAC Ala’eddin Masadeh Zhengdao Wang A. Kamal 24 0 0 05 Apr 2020
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics Amir H. Mosavi Pedram Ghamisi Yaser Faghan Puhong Duan OffRL 69 153 0 21 Mar 2020
Machine Learning for Intelligent Optical Networks: A Comprehensive Survey Rentao Gu Zeyuan Yang Yuefeng Ji 67 115 0 11 Mar 2020
Learning to be Global Optimizer Haotian Zhang Jianyong Sun Zongben Xu 23 3 0 10 Mar 2020
Learning a generative model for robot control using visual feedback Nishad Gothoskar Miguel Lazaro-Gredilla A. Agarwal Yasemin Bekiroglu Dileep George GAN 40 8 0 10 Mar 2020
On Hyper-parameter Tuning for Stochastic Optimization Algorithms Haotian Zhang Jianyong Sun Zongben Xu 65 0 0 04 Mar 2020
Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation Lingfeng Tao Michael Bowman Jiucai Zhang Xiaoli Zhang 25 0 0 01 Mar 2020
Deep Learning in Mining Biological Data M. S. M. Mahmud M. S. Kaiser Amir Hussain AI4CE 68 288 0 28 Feb 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization Aritz D. Martinez E. Osaba Javier Del Ser Francisco Herrera 71 10 0 25 Feb 2020
Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration Hoang Trung-Dung Yitao Liang Guy Van den Broeck OffRL 71 3 0 25 Feb 2020
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI S. Risi Mike Preuss 82 57 0 24 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 99 335 0 22 Feb 2020
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach Kecheng Zhang Meng Li Zhengchao Zhang Xi Lin Fang He 163 149 0 13 Feb 2020
Multi Type Mean Field Reinforcement Learning Sriram Ganapathi Subramanian Pascal Poupart Matthew E. Taylor N. Hegde AI4CE 161 56 0 06 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 54 3 0 03 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 147 137 0 27 Jan 2020
Multi-Agent Deep Reinforcement Learning for Cooperative Connected Vehicles Dohyun Kwon Joongheon Kim 48 13 0 08 Jan 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 96 82 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 135 193 0 23 Dec 2019
A Survey of Deep Learning Applications to Autonomous Vehicle Control Sampo Kuutti Richard Bowden Yaochu Jin P. Barber Saber Fallah 122 528 0 23 Dec 2019