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Deep Reinforcement Learning: An Overview

25 January 2017

Papers citing "Deep Reinforcement Learning: An Overview"

50 / 417 papers shown

Title
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 77 29 0 01 May 2022
Enhancing Digital Health Services: A Machine Learning Approach to Personalized Exercise Goal Setting J. Fang Vincent Cs Lee Hao Ji Haiyan Wang 21 3 0 03 Apr 2022
Learning to Accelerate by the Methods of Step-size Planning Hengshuai Yao 76 0 0 01 Apr 2022
Scientometric Review of Artificial Intelligence for Operations & Maintenance of Wind Turbines: The Past, Present and Future Joyjit Chatterjee Nina Dethlefs 57 86 0 30 Mar 2022
Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture Buzhen Huang Liang Pan Yuan Yang Jingyi Ju Yangang Wang 3DH 49 32 0 26 Mar 2022
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning Fan Ding Yeiang Xue 45 7 0 22 Mar 2022
Fast and Data Efficient Reinforcement Learning from Pixels via Non-Parametric Value Approximation Alex Long Alan Blair H. V. Hoof 41 3 0 07 Mar 2022
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four S. Wäldchen Felix Huber Sebastian Pokutta FAtt 61 8 0 23 Feb 2022
Online Learning for Orchestration of Inference in Multi-User End-Edge-Cloud Networks Sina Shahhosseini Dongjoo Seo A. Kanduri Tianyi Hu Sung-Soo Lim Bryan Donyanavard Amir M.Rahmani N. Dutt 86 17 0 21 Feb 2022
A comprehensive survey on computational learning methods for analysis of gene expression data Nikita Bhandari Rahee Walambe K. Kotecha Satyajeet P. Khare 29 21 0 07 Feb 2022
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design Yonatan Ashenafi Piyush Pandita Sayan Ghosh OffRL 63 6 0 21 Dec 2021
Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning Sankaran Iyer Alan Blair Laughlin C. Dawes D. Moses Christopher White Arcot Sowmya 25 2 0 06 Dec 2021
Real-world challenges for multi-agent reinforcement learning in grid-interactive buildings Kingsley Nweye Bo Liu Peter Stone Zoltán Nagy OffRL AI4CE 76 38 0 25 Nov 2021
Self-Learning Tuning for Post-Silicon Validation P. Domanski Dirk Pflüger J. Rivoir Raphael Latty 50 5 0 17 Nov 2021
RLOps: Development Life-cycle of Reinforcement Learning Aided Open RAN Peizheng Li Jonathan D. Thomas Xiaoyang Wang Ahmed Khalil A. Ahmad ... S. Kapoor Arjun Parekh A. Doufexi Arman Shojaeifard Robert Piechocki AI4TS 63 38 0 12 Nov 2021
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI Jiangchao Yao Shengyu Zhang Yang Yao Feng Wang Jianxin Ma ... Kun Kuang Chao-Xiang Wu Leilei Gan Jingren Zhou Hongxia Yang 149 103 0 11 Nov 2021
CubeTR: Learning to Solve The Rubiks Cube Using Transformers Mustafa Chasmai ViT 65 1 0 11 Nov 2021
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning Wanggang Shen Xun Huan 62 40 0 28 Oct 2021
Which Model to Trust: Assessing the Influence of Models on the Performance of Reinforcement Learning Algorithms for Continuous Control Tasks Giacomo Arcieri David Wölfle Eleni Chatzi OffRL 102 5 0 25 Oct 2021
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review Xinhai Zhang Jianbo Tao Kaige Tan Martin Törngren José Manuel Gaspar Sánchez ... Magnus Gyllenhammar F. Wotawa N. Mohan Mihai Nica Hermann Felbinger 89 39 0 16 Oct 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 86 102 0 14 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 111 158 0 26 Aug 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey Richard Dazeley Peter Vamplew Francisco Cruz 69 65 0 20 Aug 2021
Optimal Placement of Public Electric Vehicle Charging Stations Using Deep Reinforcement Learning S. Padmanabhan Aidan Petratos A. Ting Kristina Zhou Dylan Hageman J. Pisel Michael J. Pyrcz OffRL 21 3 0 17 Aug 2021
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey Zefang Zong Tao Feng Tong Xia Depeng Jin Yong Li 50 3 0 10 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 65 23 0 05 Aug 2021
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks Zachary Ravichandran Lisa Peng Nathan Hughes J. D. Griffith Luca Carlone 130 71 0 02 Aug 2021
A reinforcement learning approach to resource allocation in genomic selection Saba Moeinizade Guiping Hu Lizhi Wang 60 15 0 22 Jul 2021
Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets Yue Gao Kry Yik-Chau Lui Pablo Hernandez-Leal 48 7 0 16 Jul 2021
Boosting the Convergence of Reinforcement Learning-based Auto-pruning Using Historical Data Jiandong Mu Mengdi Wang Feiwen Zhu Jun Yang Weiran Lin Wei Zhang OnRL 44 2 0 16 Jul 2021
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems G. Tong 83 5 0 15 Jul 2021
Safer Reinforcement Learning through Transferable Instinct Networks Djordje Grbic S. Risi OffRL OnRL 78 4 0 14 Jul 2021
A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization Zhenning Li Chengzhong Xu Guohui Zhang 26 6 0 13 Jul 2021
Behavior Constraining in Weight Space for Offline Reinforcement Learning Phillip Swazinna Steffen Udluft D. Hein Thomas Runkler OffRL 47 4 0 12 Jul 2021
Adaptation of Quadruped Robot Locomotion with Meta-Learning A. Kuzhamuratov Dmitry Sorokin Alexander Ulanov A. Lvovsky 37 0 0 08 Jul 2021
Levels of explainable artificial intelligence for human-aligned conversational explanations Richard Dazeley Peter Vamplew Cameron Foale Charlotte Young Sunil Aryal F. Cruz 65 92 0 07 Jul 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 77 6 0 07 Jul 2021
Bregman Gradient Policy Optimization Feihu Huang Shangqian Gao Heng-Chiao Huang 154 16 0 23 Jun 2021
Dynamic Sparse Training for Deep Reinforcement Learning Ghada Sokar Elena Mocanu Decebal Constantin Mocanu Mykola Pechenizkiy Peter Stone 106 59 0 08 Jun 2021
Towards Scalable Verification of Deep Reinforcement Learning Guy Amir Michael Schapira Guy Katz OffRL 74 47 0 25 May 2021
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound Xin Yang Yuhao Huang Ruobing Huang Haoran Dou Rui Li ... Chaoyu Chen Yuanji Zhang Haixia Wang Yi Xiong Dong Ni 50 17 0 22 May 2021
Controlling an Inverted Pendulum with Policy Gradient Methods-A Tutorial Swagat Kumar 25 2 0 17 May 2021
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey Jinjie Ni Tom Young Vlad Pandelea Fuzhao Xue Min Zhang 222 279 0 10 May 2021
Emotional Contagion-Aware Deep Reinforcement Learning for Antagonistic Crowd Simulation Pei Lv Qingqing Yu Boya Xu Chaochao Li Bing Zhou Mingliang Xu 24 6 0 29 Apr 2021
Tackling Variabilities in Autonomous Driving Yuqiong Qi Yang Hu Haibin Wu Shen Li Haiyu Mao Xiaochun Ye Xiaochun Ye Ninghui Sun 16 1 0 21 Apr 2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning Songan Zhang Lu Wen H. Peng H. E. Tseng 34 10 0 18 Apr 2021
Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning Aditi Mishra Utkarsh Soni Jinbin Huang Chris Bryan OffRL 73 24 0 06 Apr 2021
RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning Tong Wu Jorge Ortiz AI4TS 80 28 0 31 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 82 341 0 19 Mar 2021
Image Synthesis for Data Augmentation in Medical CT using Deep Reinforcement Learning Arjun Krishna Kedar Bartake Chuang Niu Ge Wang Y. Lai X. Jia Klaus Mueller OOD MedIm 28 6 0 18 Mar 2021