Deep Reinforcement Learning: An Overview

25 January 2017

Papers citing "Deep Reinforcement Learning: An Overview"

50 / 418 papers shown

Title
Hierarchical principles of embodied reinforcement learning: A review Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 25 9 0 18 Dec 2020
Towards Optimal District Heating Temperature Control in China with Deep Reinforcement Learning Adrien Le Coz Tahar Nabil F. Courtot AI4CE 8 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 11 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 18 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 14 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 6 11 0 05 Nov 2020
Deep Neural Mobile Networking Chaoyun Zhang 24 1 0 23 Oct 2020
Deep Reinforcement Learning and Transportation Research: A Comprehensive Review Nahid Parvez Farazi T. Ahamed Limon Barua Bo Zou AI4TS 17 18 0 13 Oct 2020
Active Feature Acquisition with Generative Surrogate Models Yang Li Junier B. Oliva RALM TPM 22 37 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 9 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 S. Labi 16 11 0 30 Sep 2020
Federated Transfer Learning: concept and applications Sudipan Saha Tahir Ahmad FedML 16 85 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 W. Xu N. Aslam L. Hanzo 11 280 0 23 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 20 79 0 17 Sep 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates Lingkai Kong Jimeng Sun Chao Zhang UQCV 42 102 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 11 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 11 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 16 5 0 11 Aug 2020
An Intelligent Control Strategy for buck DC-DC Converter via Deep Reinforcement Learning Chenggang Cui Nan Yan Chuanlin Zhang 14 8 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 16 14 0 06 Aug 2020
Single-Timescale Actor-Critic Provably Finds Globally Optimal Policy Zuyue Fu Zhuoran Yang Zhaoran Wang 13 42 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 19 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 19 17 0 30 Jul 2020
Integrating Deep Reinforcement Learning Networks with Health System Simulations Michael Allen T. Monks AI4CE 25 4 0 21 Jul 2020
Understanding Implicit Regularization in Over-Parameterized Single Index Model Jianqing Fan Zhuoran Yang Mengxin Yu 19 16 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 6 11 0 16 Jul 2020
Momentum-Based Policy Gradient Methods Feihu Huang Shangqian Gao J. Pei Heng-Chiao Huang 14 38 0 13 Jul 2020
Decentralized Deep Reinforcement Learning for Network Level Traffic Signal Control Jinqiu Guo 11 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 11 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 11 76 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 6 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 26 22 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 13 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 17 24 0 03 Jun 2020
Riemannian Proximal Policy Optimization Shijun Wang Baocheng Zhu Chen Li Mingzhe Wu James Y. Zhang Wei Chu Yuan Qi 11 3 0 19 May 2020
A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support Yun Chen Xingqin Lin T. Khan Mohammad Mozaffari 9 7 0 11 May 2020
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems Alexis Asseman Nicolas Antoine A. Ozcan 11 4 0 10 May 2020
Safe Reinforcement Learning through Meta-learned Instincts Djordje Grbic S. Risi 13 7 0 06 May 2020
MARLeME: A Multi-Agent Reinforcement Learning Model Extraction Library Dmitry Kazhdan Z. Shams Pietro Lió 27 15 0 16 Apr 2020
An Application of Deep Reinforcement Learning to Algorithmic Trading Thibaut Théate D. Ernst AIFin 6 162 0 07 Apr 2020
Adaptive Partial Scanning Transmission Electron Microscopy with Reinforcement Learning Jeffrey M. Ede 8 12 0 06 Apr 2020
Machine Learning Algorithms for Financial Asset Price Forecasting Philip Ndikum AIFin 12 16 0 31 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 20 20 0 29 Mar 2020
Towards Safer Self-Driving Through Great PAIN (Physically Adversarial Intelligent Networks) Piyush B. Gupta Demetris Coleman J. Siegel AAML 16 16 0 24 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 6 0 0 01 Mar 2020
Using Reinforcement Learning in the Algorithmic Trading Problem E. Ponomarev Ivan V. Oseledets A. Cichocki 14 24 0 26 Feb 2020
Deep Reinforcement Learning with Linear Quadratic Regulator Regions Gabriel I. Fernandez Colin Togashi Dennis W. Hong Lin Yang 9 4 0 23 Feb 2020
Sim2Real Transfer for Reinforcement Learning without Dynamics Randomization M. Kaspar J. D. M. Osorio J. Bock 15 98 0 19 Feb 2020
Low-Rank Bottleneck in Multi-head Attention Models Srinadh Bhojanapalli Chulhee Yun A. S. Rawat Sashank J. Reddi Sanjiv Kumar 16 94 0 17 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 14 51 0 06 Feb 2020