v1v2v3v4v5v6 (latest)

Deep Reinforcement Learning: An Overview

25 January 2017

Papers citing "Deep Reinforcement Learning: An Overview"

50 / 417 papers shown

Title
Graph Learning Based Decision Support for Multi-Aircraft Take-Off and Landing at Urban Air Mobility Vertiports Prajit K. Kumar Jhoel Witter Steve Paul Karthik Dantu Souma Chowdhury 50 3 0 12 Feb 2023
Verifying Generalization in Deep Learning Guy Amir Osher Maayan Tom Zelazny Guy Katz Michael Schapira AAML AI4CE 81 14 0 11 Feb 2023
A Survey on Causal Reinforcement Learning Yan Zeng Ruichu Cai Gang Hua Libo Huang Zijian Li CML 144 30 0 10 Feb 2023
Skill Decision Transformer Shyam Sudhakaran S. Risi OffRL 65 6 0 31 Jan 2023
The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning Andrea Soltoggio Eseoghene Ben-Iwhiwhu Christos Peridis Pawel Ladosz Jeffery Dick Praveen K. Pilly Soheil Kolouri OffRL 83 3 0 21 Jan 2023
Recent advances in artificial intelligence for retrosynthesis Zipeng Zhong Mingli Song Zunlei Feng Tiantao Liu Lingxiang Jia Shaolun Yao Tingjun Hou Mingli Song 82 5 0 14 Jan 2023
DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection Caroline Strickland Chandrika Saha Muhammad Zakar Sareh Nejad Noshin Tasnim D. Lizotte Anwar Haque 57 10 0 05 Jan 2023
Value Enhancement of Reinforcement Learning via Efficient and Robust Trust Region Optimization C. Shi Zhengling Qi Jianing Wang Fan Zhou OffRL 51 6 0 05 Jan 2023
Off-Policy Reinforcement Learning with Loss Function Weighted by Temporal Difference Error Bumgeun Park Taeyoung Kim Woohyeon Moon L. Vecchietti Dongsoo Har OffRL 62 2 0 26 Dec 2022
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks Xingxing Wei Yingjie Guo Jie Yu Bo Zhang AAML 106 52 0 26 Dec 2022
Design and Planning of Flexible Mobile Micro-Grids Using Deep Reinforcement Learning Cesare Caputo Michel-Alexandre Cardin Pudong Ge Fei Teng A. Korre Ehecatl Antonio del Rio Chanona 39 18 0 08 Dec 2022
Reinforcement Learning for Resilient Power Grids Zhenting Zhao Po-Yen Chen Yucheng Jin AI4CE 46 4 0 08 Dec 2022
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 84 10 0 04 Dec 2022
Functional Connectome: Approximating Brain Networks with Artificial Neural Networks Sihao Liu Augustine N. Mavor-Parker Caswell Barry 44 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 68 8 0 06 Nov 2022
Diversity-based Deep Reinforcement Learning Towards Multidimensional Difficulty for Fighting Game AI Emily Halina Matthew J. Guzdial 122 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 78 0 0 26 Oct 2022
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 127 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 69 2 0 17 Oct 2022
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit Per-Arne Andersen Morten Goodwin Ole-Christoffer Granmo 40 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 83 39 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 59 12 0 27 Sep 2022
Deep Reinforcement Learning for Adaptive Mesh Refinement C. Foucart A. Charous Pierre FJ Lermusiaux AI4CE 81 23 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 57 3 0 22 Sep 2022
Recent Approaches for Perceptive Legged Locomotion Hersh Sanghvi 112 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 61 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 53 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 120 36 0 02 Sep 2022
A further exploration of deep Multi-Agent Reinforcement Learning with Hybrid Action Space Hongzhi Hua Guixuan Wen Kaigui Wu 29 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 94 77 0 18 Aug 2022
Gradient Estimation for Binary Latent Variables via Gradient Variance Clipping Russell Z. Kunes Mingzhang Yin Max Land Doron Haviv Dana Peér Simon Tavaré BDL 80 3 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 93 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 85 14 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 57 9 0 21 Jul 2022
The Mean Dimension of Neural Networks -- What causes the interaction effects? Roman Hahn Christoph Feinauer E. Borgonovo FAtt 48 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 106 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 Dieter Fox Akansel Cosgun 138 171 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 51 19 0 05 Jul 2022
Applications of Reinforcement Learning in Finance -- Trading with a Double Deep Q-Network Frensi Zejnullahu Maurice Moser Joerg Osterrieder AIFin 70 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 81 20 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 88 66 0 16 Jun 2022
Deep Multi-Agent Reinforcement Learning with Hybrid Action Spaces based on Maximum Entropy Hongzhi Hua Kaigui Wu Guixuan Wen 33 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 60 13 0 08 Jun 2022
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review Mohit Sewak S. K. Sahay Hemant Rathore AAML 51 27 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 75 7 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 91 1 0 26 May 2022
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 162 37 0 26 May 2022
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum Lingfeng Tao Jiucai Zhang Xiaoli Zhang 77 5 0 26 May 2022
MetaNet: Automated Dynamic Selection of Scheduling Policies in Cloud Environments Shreshth Tuli G. Casale N. Jennings 96 2 0 21 May 2022
Learning to Dynamically Select Cost Optimal Schedulers in Cloud Computing Environments Shreshth Tuli G. Casale N. Jennings 61 1 0 21 May 2022