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Deep Reinforcement Learning: An Overview

25 January 2017

Papers citing "Deep Reinforcement Learning: An Overview"

50 / 417 papers shown

Title
Deep reinforcement learning in medical imaging: A literature review S. Kevin Zhou Hoang Ngan Le Khoa Luu Hien V Nguyen N. Ayache LM&MA OffRL MedIm 77 149 0 05 Mar 2021
Continuous Doubly Constrained Batch Reinforcement Learning Rasool Fakoor Jonas W. Mueller Kavosh Asadi Pratik Chaudhari Alex Smola OffRL 280 27 0 18 Feb 2021
Using Distance Correlation for Efficient Bayesian Optimization T. Kanazawa 73 3 0 17 Feb 2021
Neurogenetic Programming Framework for Explainable Reinforcement Learning Vadim Liventsev Aki Härmä M. Petković 64 4 0 08 Feb 2021
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges Xin Chen Guannan Qu Yujie Tang S. Low Na Li 83 238 0 27 Jan 2021
BF++: a language for general-purpose program synthesis Vadim Liventsev Aki Härmä M. Petković 149 3 0 23 Jan 2021
Deep Reinforcement Learning for Active High Frequency Trading Antonio Briola J. Turiel Riccardo Marcaccioli Alvaro Cauderan T. Aste AIFin AI4TS 82 36 0 18 Jan 2021
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning Renke Huang Yujiao Chen Tianzhixi Yin Qiuhua Huang Jie Tan Wenhao Yu Xinya Li Ang Li Yan Du AI4CE 49 33 0 13 Jan 2021
Developing an OpenAI Gym-compatible framework and simulation environment for testing Deep Reinforcement Learning agents solving the Ambulance Location Problem Michael Allen K. Pearn T. Monks OOD 61 7 0 12 Jan 2021
A Survey of Deep RL and IL for Autonomous Driving Policy Learning Zeyu Zhu Huijing Zhao 147 159 0 06 Jan 2021
A Survey on Deep Reinforcement Learning for Audio-Based Applications S. Latif Heriberto Cuayáhuitl Farrukh Pervez Fahad Shamshad Hafiz Shehbaz Ali Min Zhang OffRL 123 75 0 01 Jan 2021
Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset Alireza Shamsoshoara Fatemeh Afghah Abolfazl Razi Liming Zheng Peter Z Fulé Erik P. Blasch 68 241 0 28 Dec 2020
Hierarchical principles of embodied reinforcement learning: A review Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 101 10 0 18 Dec 2020
Towards Optimal District Heating Temperature Control in China with Deep Reinforcement Learning Adrien Le Coz Tahar Nabil F. Courtot AI4CE 22 6 0 17 Dec 2020
An Artificial Consciousness Model and its relations with Philosophy of Mind E.C. Garrido-Merchán M. Molina Francisco M. Mendoza 42 3 0 30 Nov 2020
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact Jan Egger Antonio Pepe Christina Schwarz-Gsaxner Yuan Jin Jianning Li Roman Kern OOD VLM AI4CE 53 30 0 16 Nov 2020
Deep reinforcement learning for RAN optimization and control Yu Chen Jie Chen G. Krishnamurthi Huijing Yang Huahui Wang Wenjie Zhao 39 1 0 09 Nov 2020
Playing optical tweezers with deep reinforcement learning: in virtual, physical and augmented environments M. Praeger Yunhui Xie J. Grant-Jacob R. Eason B. Mills 62 12 0 05 Nov 2020
Deep Neural Mobile Networking Chaoyun Zhang 65 1 0 23 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review Nahid Parvez Farazi T. Ahamed Limon Barua Bo Zou AI4TS 69 18 0 13 Oct 2020
Active Feature Acquisition with Generative Surrogate Models Yang Li Junier B. Oliva RALM TPM 65 38 0 06 Oct 2020
PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters Isabelly Rocha Nathaniel Morris L. Chen Pascal Felber Robert Birke V. Schiavoni 30 10 0 01 Oct 2020
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control Jiqian Dong Sikai Chen Yujie Li Runjia Du Aaron Steinfeld Samuel Labi 66 11 0 30 Sep 2020
Federated Transfer Learning: concept and applications Sudipan Saha Tahir Ahmad FedML 122 96 0 26 Sep 2020
Multi-Agent Deep Reinforcement Learning Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing Liang Wang Kezhi Wang Cunhua Pan Wenyuan Xu N. Aslam L. Hanzo 61 287 0 23 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 194 80 0 17 Sep 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 107 108 0 24 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
OR-Gym: A Reinforcement Learning Library for Operations Research Problems Christian D. Hubbs Hector D. Perez Owais Sarwar N. Sahinidis I. Grossmann J. Wassick OffRL AI4CE 65 74 0 14 Aug 2020
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving Xiaofeng Liu Yimeng Zhang Xiongchang Liu S. Bai Site Li J. You 61 5 0 11 Aug 2020
An Intelligent Control Strategy for buck DC-DC Converter via Deep Reinforcement Learning Chenggang Cui Nan Yan Chuanlin Zhang 26 9 0 11 Aug 2020
Deep reinforcement learning to detect brain lesions on MRI: a proof-of-concept application of reinforcement learning to medical images J. Stember H. Shalu MedIm 55 14 0 06 Aug 2020
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy Zuyue Fu Zhuoran Yang Zhaoran Wang 87 43 0 02 Aug 2020
Service Chain Composition with Failures in NFV Systems: A Game-Theoretic Perspective Simeng Bian Xi Huang Ziyu Shao Xin Gao Yang Yang 31 10 0 01 Aug 2020
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound Yuhao Huang Xin Yang Rui Li Jikuan Qian Xiaoqiong Huang ... Yuanji Zhang H. Luo Alejandro Frangi Yi Xiong Dong Ni 46 18 0 30 Jul 2020
Integrating Deep Reinforcement Learning Networks with Health System Simulations Michael Allen T. Monks AI4CE 41 4 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
DRIFT: Deep Reinforcement Learning for Functional Software Testing Luke R. Harries Rebekah Storan Clarke Timothy Chapman Swamy V. P. L. N. Nallamalli Levent Özgür ... Aaron Dietrich José Miguel Hernández-Lobato Tom Ellis Cheng Zhang K. Ciosek VLM OffRL 24 14 0 16 Jul 2020
Momentum-Based Policy Gradient Methods Feihu Huang Shangqian Gao J. Pei Heng-Chiao Huang 96 39 0 13 Jul 2020
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control Jinqiu Guo 23 1 0 02 Jul 2020
Concept and the implementation of a tool to convert industry 4.0 environments modeled as FSM to an OpenAI Gym wrapper Kallil M. C. Zielinski Marcelo Teixeira Richardson Ribeiro Dalcimar Casanova OffRL 23 1 0 29 Jun 2020
Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games Stephen Marcus McAleer John Lanier Roy Fox Pierre Baldi 63 77 0 15 Jun 2020
Automated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs Miguel de Prado Andrew Mundy Rabia Saeed Maurizo Denna Nuria Pazos Luca Benini 69 11 0 09 Jun 2020
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars Ran Emuna A. Borowsky Armin Biess 77 24 0 07 Jun 2020
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains James Bannon Bradford T. Windsor Wenbo Song Tao Li CML OOD OffRL 73 20 0 03 Jun 2020
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging Ziju Shen Yufei Wang Dufan Wu Xu Yang Bin Dong OffRL 94 24 0 03 Jun 2020
Riemannian Proximal Policy Optimization Shijun Wang Baocheng Zhu Chen Li Mingzhe Wu James Y. Zhang Wei Chu Yuan Qi 46 3 0 19 May 2020
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support Yun Chen Xingqin Lin T. Khan Mohammad Mozaffari 39 7 0 11 May 2020
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems Alexis Asseman Nicolas Antoine A. Ozcan 29 4 0 10 May 2020
Safe Reinforcement Learning through Meta-learned Instincts Djordje Grbic S. Risi 45 8 0 06 May 2020