Deep Reinforcement Learning: An Overview

25 January 2017

Papers citing "Deep Reinforcement Learning: An Overview"

50 / 418 papers shown

Title
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning Boxuan Zhao Jun Zhang Deheng Ye Jiancheng Cao Xiao Han Qiang Fu Wei Yang OffRL 21 6 0 04 Dec 2022
Functional Connectome: Approximating Brain Networks with Artificial Neural Networks Sihao Liu Augustine N. Mavor-Parker Caswell Barry 14 1 0 23 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges Qi Liu Xueyuan Li Zirui Li Jingda Wu Guodong Du Xinlu Gao Fan Yang Shihua Yuan 36 8 0 06 Nov 2022
Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI Emily Halina Matthew J. Guzdial 14 3 0 04 Nov 2022
Automated Diagnosis of Cardiovascular Diseases from Cardiac Magnetic Resonance Imaging Using Deep Learning Models: A Review M. Jafari A. Shoeibi Marjane Khodatars Navid Ghassemi Parisa Moridian ... Yu-Dong Zhang Shui-Hua Wang Juan M Gorriz Hamid Alinejad-Rokny U. Acharya 20 0 0 26 Oct 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 24 27 0 24 Oct 2022
Bridging the Gap between Artificial Intelligence and Artificial General Intelligence: A Ten Commandment Framework for Human-Like Intelligence Ananta Nair F. Kashani 26 2 0 17 Oct 2022
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit Per-Arne Andersen Morten Goodwin Ole-Christoffer Granmo 11 0 0 03 Oct 2022
Modeling driver's evasive behavior during safety-critical lane changes:Two-dimensional time-to-collision and deep reinforcement learning Hongyu Guo Kun Xie M. Keyvan-Ekbatani 18 32 0 29 Sep 2022
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter Ruben Villarreal Nikolaos N. Vlassis Nhon N. Phan Tommie A. Catanach Reese E. Jones N. Trask S. Kramer WaiChing Sun OffRL 20 11 0 27 Sep 2022
Deep Reinforcement Learning for Adaptive Mesh Refinement C. Foucart A. Charous Pierre FJ Lermusiaux AI4CE 28 22 0 25 Sep 2022
Computational Discovery of Energy-Efficient Heat Treatment for Microstructure Design using Deep Reinforcement Learning J. Mianroodi N. Siboni Dierk Raabe AI4CE 29 2 0 22 Sep 2022
Recent Approaches for Perceptive Legged Locomotion Hersh Sanghvi 24 0 0 21 Sep 2022
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks Marzie Esmaeeli H. Malek 6 2 0 18 Sep 2022
A new Reinforcement Learning framework to discover natural flavor molecules Luana P. Queiroz C. Rebello É. Costa Vinícius V. Santana Bruno C. L. Rodrigues A. Rodrigues A. M. Ribeiro Idelfonso B. R. Nogueira 14 1 0 13 Sep 2022
Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning P. G. Morato C. Andriotis K. Papakonstantinou P. Rigo AI4CE 13 35 0 02 Sep 2022
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space Hongzhi Hua Guixuan Wen Kaigui Wu 11 1 0 30 Aug 2022
Intelligent problem-solving as integrated hierarchical reinforcement learning Manfred Eppe Christian Gumbsch Matthias Kerzel Phuong D. H. Nguyen Martin Volker Butz S. Wermter 13 74 0 18 Aug 2022
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping Russell Z. Kunes Mingzhang Yin Max Land D. Haviv D. Pe’er Simon Tavaré BDL 14 2 0 12 Aug 2022
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications A. Kanduri Sina Shahhosseini Emad Kasaeyan Naeini Hamid Alikhani P. Liljeberg N. Dutt Amir M. Rahmani 28 7 0 04 Aug 2022
Robust Knowledge Adaptation for Dynamic Graph Neural Networks Han Li Changsheng Li Kaituo Feng Ye Yuan Guoren Wang H. Zha 18 12 0 22 Jul 2022
Reinforcement learning for Energies of the future and carbon neutrality: a Challenge Design Gaetan Serré Eva Boguslawski Benjamin Donnot Adrien Pavao Isabelle M Guyon Antoine Marot AI4CE 9 9 0 21 Jul 2022
The Mean Dimension of Neural Networks -- What causes the interaction effects? Roman Hahn Christoph Feinauer E. Borgonovo FAtt 8 2 0 11 Jul 2022
A Survey of Recent Machine Learning Solutions for Ship Collision Avoidance and Mission Planning Pouria Sarhadi W. Naeem N. Athanasopoulos 10 17 0 06 Jul 2022
Deep Learning Approaches to Grasp Synthesis: A Review Rhys Newbury Morris Gu Lachlan Chumbley Arsalan Mousavian Clemens Eppner ... A. Morales Tamim Asfour Danica Kragic D. Fox Akansel Cosgun 22 160 0 06 Jul 2022
Resource Allocation in Multicore Elastic Optical Networks: A Deep Reinforcement Learning Approach Juan Pinto-Ríos F. Calderón A. Leiva Gabriel Hermosilla A. Beghelli Danilo Bórquez-Paredes A. Lozada N. Jara R. Olivares G. Saavedra 14 17 0 05 Jul 2022
Applications of Reinforcement Learning in Finance -- Trading with a Double Deep Q-Network Frensi Zejnullahu Maurice Moser Joerg Osterrieder AIFin 11 4 0 28 Jun 2022
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming Davide Corsi Raz Yerushalmi Guy Amir Alessandro Farinelli D. Harel Guy Katz 22 19 0 20 Jun 2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications Sai Munikoti D. Agarwal L. Das M. Halappanavar Balasubramaniam Natarajan GNN OffRL AI4CE 25 57 0 16 Jun 2022
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy Hongzhi Hua Kaigui Wu Guixuan Wen 14 0 0 10 Jun 2022
ReCo: A Dataset for Residential Community Layout Planning Xiangshan Chen Yun Xiong Siqi Wang Haofen Wang Tao Sheng Yao Zhang Yu Ye 24 9 0 08 Jun 2022
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review Mohit Sewak S. K. Sahay Hemant Rathore AAML 14 22 0 06 Jun 2022
Algorithm for Constrained Markov Decision Process with Linear Convergence E. Gladin Maksim Lavrik-Karmazin K. Zainullina Varvara Rudenko Alexander V. Gasnikov Martin Takáč 14 6 0 03 Jun 2022
A Model Predictive Control Functional Continuous Time Bayesian Network for Self-Management of Multiple Chronic Conditions Syed Hasib Akhter Faruqui A. Alaeddini Jing Wang S. Fisher-Hoch J. McCormick Julian Carvajal Rico 6 0 0 26 May 2022
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 82 37 0 26 May 2022
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum Lingfeng Tao Jiucai Zhang Xiaoli Zhang 36 5 0 26 May 2022
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments Shreshth Tuli G. Casale N. Jennings 17 2 0 21 May 2022
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments Shreshth Tuli G. Casale N. Jennings 14 1 0 21 May 2022
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning Kevin Zeng Alec J. Linot M. Graham AI4CE 15 28 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 9 2 0 03 Apr 2022
Learning to Accelerate by the Methods of Step-size Planning Hengshuai Yao 11 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 13 83 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 12 32 0 26 Mar 2022
X-MEN: Guaranteed XOR-Maximum Entropy Constrained Inverse Reinforcement Learning Fan Ding Yeiang Xue 6 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 9 3 0 07 Mar 2022
Training Characteristic Functions with Reinforcement Learning: XAI-methods play Connect Four S. Wäldchen Felix Huber S. Pokutta FAtt 23 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 17 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 15 18 0 07 Feb 2022
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design Yonatan Ashenafi Piyush Pandita Sayan Ghosh OffRL 28 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 8 2 0 06 Dec 2021