Reinforcement Learning: A Survey
DOI 10.1613/jair.301
Cited by (1,028)
Items 301–400 of 1,028
- Robot Shaping: An Experiment in Behavior EngineeringMarco Dorigo, Marco Colombetti · 1997
- Integral Q-learning and explorized policy iteration for adaptive optimal control of continuous-time linear systemsJae Young Lee, Jin Bae Park, Yoon Ho Choi · 2012 · Automatica
- Reinforcement Learning in Continuous State and Action SpacesHado P. van Hasselt · 2012 · Adaptation, learning, and optimization
- An Introduction to Reinforcement LearningEduardo F. Morales, Julio H. Zaragoza · 2011 · IGI Global eBooks
- Reinforcement learning with artificial microswimmersSantiago Muíños-Landín, A. Fischer, V. Holubec, F. Cichos · 2021 · Science Robotics
- Reinforcement learning, conditioning, and the brain: Successes and challengesTiago V. Maia · 2009 · Cognitive Affective & Behavioral Neuroscience
- Reinforcement learning by reward-weighted regression for operational space controlJan Peters, Stefan Schaal A · 2007 · International Conference on Machine Learning
- Artificial Intelligence-Based Techniques for Emerging Heterogeneous Network: State of the Arts, Opportunities, and ChallengesXiaofei Wang, Xiuhua Li, Victor C. M. Leung · 2015 · IEEE Access
- Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain ConstraintsBo Zhao, Derong Liu, Chaomin Luo · 2019 · IEEE Transactions on Neural Networks and Learning Systems
- Ensemble Algorithms in Reinforcement LearningMarco Wiering, Hado P. van Hasselt · 2008 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Social and juristic challenges of artificial intelligenceMatjaž Perc, Mahmut Özer, Janja Hojnik · 2019 · Humanities and Social Sciences Communications
- A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networksKhemraj Shukla, Juan Diego Toscano, Zhicheng Wang, Zongren Zou, George Em Karniadakis · 2024 · Computer Methods in Applied Mechanics and Engineering
- Learning Finite-State Controllers for Partially Observable EnvironmentsNicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling · 2013 · arXiv (Cornell University)
- World ModelsHa, David, Schmidhuber, Jürgen · 2018 · Zenodo
- Robot Learning from Human TeachersSonia Chernova, Andrea L. Thomaz · 2014 · Synthesis lectures on artificial intelligence and machine learning
- An Introduction to Collective IntelligenceDavid H. Wolpert, Kagan Tumer · 1999 · arXiv (Cornell University)
- Dynamic Access Control Policy based on Blockchain and Machine Learning for the Internet of ThingsAissam Outchakoucht, Hamza Es-Samaali, Jean Philippe · 2017 · International Journal of Advanced Computer Science and Applications
- Robustness in deep learning models for medical diagnostics: security and adversarial challenges towards robust AI applicationsHaseeb Javed, Shaker El–Sappagh, Tamer Abuhmed · 2024 · Artificial Intelligence Review
- A machine learning approach to building domain-specific search enginesAndrew McCallum, Kamal Nigam, Jason D. M. Rennie, Kristie Seymore · 1999
- Active learning: theory and applicationsDaphne Koller, Simon Tong · 2001
- Basis Function Adaptation in Temporal Difference Reinforcement LearningIshai Menache, Shie Mannor, Nahum Shimkin · 2005 · Annals of Operations Research
- Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-ReviewLiu, Rongrong, Nageotte, Florent, Zanne, Philippe, de Mathelin, Michel, Dresp-Langley, Birgitta · 2021 · Robotics
- Autonomous Vehicles Security: Challenges and Solutions Using Blockchain and Artificial IntelligenceGueltoum Bendiab, Amina Hameurlaine, Georgios Germanos, Nicholas Kolokotronis, Stavros N. Shiaeles · 2023 · IEEE Transactions on Intelligent Transportation Systems
- Cognitive Control: Core Constructs and Current ConsiderationsCohen, Jonathan D. · 2017 · The Wiley Handbook of Cognitive Control
- Machine learning (ML)-centric resource management in cloud computing: A review and future directionsTahseen Khan, Wenhong Tian, Guangyao Zhou, Shashikant Ilager, Mingming Gong, Rajkumar Buyya · 2022 · Journal of Network and Computer Applications
- Deep Learning Techniques for Music Generation -- A SurveyBriot, Jean-Pierre, Hadjeres, Gaëtan, Pachet, François-David · 2017 · arXiv (Cornell University)
- A Unified Analysis of Value-Function-Based Reinforcement-Learning AlgorithmsCsaba Szepesvári, Michael L. Littman · 1999 · Neural Computation
- Machine learning for next-generation intelligent transportation systems: A surveyYuan, Tingting, Da Rocha Neto, Wilson, Rothenberg, Christian Esteve, Obraczka, Katia, Barakat, Chadi, Turletti, Thierry · 2022 · Transactions on Emerging Telecommunications Technologies
- Accelerating Reinforcement Learning through Implicit ImitationB. Price, Craig E. Boutilier · 2003 · Journal of Artificial Intelligence Research
- Intelligent and connected vehicles: Current status and future perspectivesDiange Yang, Kun Jiang, Ding Xuan Zhao, Chunlei Yu, Zhong Liang Cao, Shichao Xie, Zhongyang Xiao, Xinyu Jiao, Sijia Wang, Kai Zhang · 2018 · Science China Technological Sciences
- StarCraft Micromanagement With Reinforcement Learning and Curriculum Transfer LearningKun Shao, Yuanheng Zhu, Dongbin Zhao · 2018 · IEEE Transactions on Emerging Topics in Computational Intelligence
- Artificial intelligence and machine learningNiklas Kühl, Max Schemmer, Marc Goutier, Gerhard Satzger · 2022 · Electronic Markets
- Using Markov decision process for learning dialogue strategiesEsther Levin, Roberto Pieraccini, Wieland Eckert · 2002 · IEEE International Conference on Acoustics Speech and Signal Processing
- Decentralized Control for Large-Scale Nonlinear Systems With Unknown Mismatched Interconnections via Policy IterationBo Zhao, Ding Wang, Guang Shi, Derong Liu, Yuanchun Li · 2017 · IEEE Transactions on Systems Man and Cybernetics Systems
- Investigating end-user acceptance of autonomous electric buses to accelerate diffusionBernd Herrenkind, Benedikt Brendel, Ilja Nastjuk, Maike Greve, Lutz Maria Kolbe · 2019 · Transportation Research Part D Transport and Environment
- Approximation algorithms for orienteering and discounted-reward TSPAvrim L. Blum, Shuchi Chawla, David Ron Karger, Terran D.R. Lane, Adam Meyerson, Maria Minkoff · 2004 · Annual Symposium on Foundations of Computer Science
- Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to RadiogenomicsJun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski · 2018 · IEEE Transactions on Medical Imaging
- Learning to Manipulate Deformable Objects without DemonstrationsYilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel · 2020 · Robotics: Science and Systems
- A New Q-Learning Algorithm Based on the Metropolis CriterionM. Guo, Yi Liu, Jacek Malec · 2004 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- Deep reinforcement learning for long-term pavement maintenance planningLinyi Yao, Qiao Dong, Jiwang Jiang, Fujian Ni · 2020 · Computer-Aided Civil and Infrastructure Engineering
- Reinforcement learning applications to machine scheduling problems: a comprehensive literature reviewBehice Meltem Kayhan, Gokalp Yildiz · 2021 · Journal of Intelligent Manufacturing
- Reinforcement Learning Applied to an Electric Water Heater: From Theory to PracticeFrederik Ruelens, Bert Claessens, Salman Quaiyum, Bart De Schutter, Robert Babuška, Ronnie J. M. Belmans · 2016 · IEEE Transactions on Smart Grid
- Long-Range Indoor Navigation With PRM-RLAnthony G. Francis Jr., Aleksandra Faust, Hao-Tien Lewis Chiang, Jasmine Hsu, J. Chase Kew, Marek Fišer, Tsang-Wei Edward Lee · 2020 · IEEE Transactions on Robotics
- Cooperative Communications With Relay Selection Based on Deep Reinforcement Learning in Wireless Sensor NetworksYuhan Su, Xiaozhen Lu, Yifeng Zhao, Lianfen Huang, Xiaojiang Du · 2019 · IEEE Sensors Journal
- Reinforcement learning application in diabetes blood glucose control: A systematic reviewMiguel Tejedor, Ashenafi Zebene Woldaregay, Fred Godtliebsen · 2020 · Artificial Intelligence in Medicine
- Deep Reinforcement Learning for Traffic Signal Control: A ReviewFaizan Rasheed, Kok‐Lim Alvin Yau, Rafidah Md Noor, Celimuge Wu, Yeh-Ching Low · 2020 · IEEE Access
- Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping StudyXinhai Zhang, Jianbo Tao, Kaige Tan, Martin Törngren, José Manuel Gaspar Sánchez, Muhammad Rusyadi Ramli, Xin Tao, Magnus Gyllenhammar, Franz Wotawa, Naveen Mohan et al. · 2022 · IEEE Transactions on Software Engineering
- A Reinforcement Learning Model to Assess Market Power Under Auction-Based Energy PricingNanduri, Vishnuteja, Das, Tapas K. · 2007 · IEEE Transactions on Power Systems
- DEVELOPMENTAL ROBOTICS: THEORY AND EXPERIMENTSJuyang Weng · 2004 · International Journal of Humanoid Robotics
- Hyperheuristics: Recent DevelopmentsKonstantin Chakhlevitch, Peter Cowling · 2008 · Studies in computational intelligence
- A Survey on Long-Tailed Visual RecognitionLu Yang, He Jiang, Qing Song, Jun Hai Guo · 2022 · International Journal of Computer Vision
- Reinforcement learning versus evolutionary computation: A survey on hybrid algorithmsMădălina M. Drugan · 2018 · Swarm and Evolutionary Computation
- Mechanisms of Plastic Rescue in Novel EnvironmentsEmilie C. Snell‐Rood, Megan E. Kobiela, Kristin L Sikkink, Alexander M. Shephard · 2018 · Annual Review of Ecology Evolution and Systematics
- Cooperative Wind Farm Control With Deep Reinforcement Learning and Knowledge-Assisted LearningHuan Qi Zhao, Junhua Zhao, Jing Qiu, Gaoqi Liang, Zhao Yang Dong · 2020 · IEEE Transactions on Industrial Informatics
- Real-Time State Estimation in a Flight Simulator Using fNIRSThibault Gateau, Gautier Durantin, François Lancelot, Sébastien Scannella, Frédéric Dehais · 2015 · PLoS ONE
- Energy-Efficient Virtual Machines Consolidation in Cloud Data Centers Using Reinforcement LearningFahimeh Farahnakian, Pasi Liljeberg, Juha Plosila · 2014 · Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)
- Behavior-based robotics as a tool for synthesis of artificial behavior and analysis of natural behaviorMaja J. Matarić · 1998 · Trends in Cognitive Sciences
- Neural Mechanisms of Hierarchical Planning in a Virtual Subway NetworkBalaguer, Jan, Spiers, Hugo, Hassabis, Demis, Summerfield, Christopher · 2016 · Neuron
- Learning-Based Energy-Efficient Data Collection by Unmanned Vehicles in Smart CitiesBo Zhang, Chi Harold Liu, Jian Tang, Zhiyuan Xu, Jian Ma, Wendong Wang · 2017 · IEEE Transactions on Industrial Informatics
- Comprehensive strategies of machine-learning-based quantitative structure-activity relationship modelsJiashun Mao, Javed Akhtar, Xiao Zhang, Liang Sun, Shenghui Guan, Xinyu Li, Guangming Chen, Jiaxin Liu, Hyeon-Nae Jeon, Min Sung Kim et al. · 2021 · iScience
- Machine learning in bioprocess development: from promise to practiceLaura M. Helleckes, Johannes Hemmerich, Wolfgang Wiechert, Eric von Lieres, Alexander Grünberger · 2022 · Trends in biotechnology
- Efficient Reinforcement Learning using Gaussian ProcessesMarc Peter Deisenroth · 2010 · Repository KITopen (Karlsruhe Institute of Technology)
- Learning to Control in Operational SpacePeters, Jan, Schaal, Stefan · 2008 · The International Journal of Robotics Research
- AI for 5G: research directions and paradigmsXiaohu You, Chuan Zhang, Xiaosi Tan, Shi Jin, Hequan Wu · 2018 · Science China Information Sciences
- An optimal estimation approach to visual perception and learningRajesh P. N. Rao · 1999 · Vision Research
- Backward Q-learning: The combination of Sarsa algorithm and Q-learningYin-Hao Wang, Tzuu‐Hseng S. Li, Chih-Jui Lin · 2013 · Engineering Applications of Artificial Intelligence
- Design of Reinforcement Learning Parameters for Seamless Application of Adaptive Traffic Signal ControlSamah El-Tantawy, Baher Abdulhai, Hossam Abdelgawad · 2013 · Journal of Intelligent Transportation Systems
- A Survey of Self-Organization Mechanisms in Multiagent SystemsDayong Ye, Minjie Zhang, Athanasios V. Vasilakos · 2016 · IEEE Transactions on Systems Man and Cybernetics Systems
- Multi-site calibration and validation of SWAT with satellite-based evapotranspiration in a data-sparse catchment in southwestern NigeriaAbolanle Elizabeth Odusanya, Bano Mehdi, Christoph Schürz, Adebayo Olubukola Oke, Olufiropo Samson Awokola, Julius Awonusi Awomeso, Joseph O. Adejuwon, Karsten Schulz · 2019 · Hydrology and earth system sciences
- A review of reinforcement learning methodologies for controlling occupant comfort in buildingsMengjie Han, Ross May, Xingxing Zhang, Xinru Wang, Song Pan, Da Yan, Yuan Jin, Liguo Xu · 2019 · Sustainable Cities and Society
- Local Search Algorithms for Combinatorial Problems - Analysis, Improvements and New ApplicationsThomas Stützle · 1999 · Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)
- A review on computer vision systems in monitoring of poultry: A welfare perspectiveCedric Okinda, Innocent Nyalala, Tchalla Korohou, Celestine Okinda, Jintao Wang, Tracy Achieng, Patrick Wamalwa, Tai Mang, Mingxia Shen · 2020 · Artificial Intelligence in Agriculture
- A Machine Learning-Oriented Survey on Tiny Machine LearningLuigi Capogrosso, Federico Cunico, Dong Seon Cheng, Franco Fummi, Marco Cristani · 2024 · IEEE Access
- Optimal Ordered Problem SolverJürgen Schmidhuber · 2004 · Machine Learning
- Evolution and sustainability of a wildlife monitoring sensor networkVladimir Dyo, Stephen A. Ellwood, David Whyte Macdonald, Andrew Markham, Cecilia Mascolo C, Bence Pásztor, Salvatore Scellato, Niki Trigoni, Ricklef Wohlers, Kharsim Yousef · 2010 · ACM Conference on Embedded Networked Sensor Systems (SenSys)
- Grid Path Planning with Deep Reinforcement Learning: Preliminary ResultsAleksandr I. Panov, Konstantin Yakovlev, Roman E. Suvorov · 2018 · Procedia Computer Science
- Artificial intelligence and machine learning applications in biopharmaceutical manufacturingAnurag Singh Rathore, Saxena Nikita, Garima Thakur, Somesh Mishra · 2022 · Trends in biotechnology
- A survey on intelligent routing protocols in wireless sensor networksWenjing Guo, Wei Zhang · 2013 · Journal of Network and Computer Applications
- A Survey on Policy Search Algorithms for Learning Robot Controllers in a Handful of TrialsChatzilygeroudis, Konstantinos, Vassiliades, Vassilis, Stulp, Freek, Calinon, Sylvain, Mouret, Jean-Baptiste · 2020 · IEEE Transactions on Robotics
- In Situ Quality Monitoring in AM Using Acoustic Emission: A Reinforcement Learning ApproachKilian Wasmer, Tri Le‐Quang, Bastian Meylan, Sergey A. Shevchik · 2018 · Journal of Materials Engineering and Performance
- Intelligent Traffic Light ControlMarco Wiering, Jelle van Veenen, Jilles Vreeken, Arne Koopman · 2004 · Utrecht University: Information and Computing Sciences eBooks
- Automated Penetration Testing Using Deep Reinforcement LearningZhenguo Hu, Răzvan Beuran, Yasuo Tan · 2020 · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
- Connected and Autonomous Vehicles and Infrastructures: A Literature ReviewMd. Masud Rana, Kamal Hossain · 2021 · International Journal of Pavement Research and Technology
- Artificial IntelligenceDavid Poole, Alan K. Mackworth · 2017 · Cambridge University Press eBooks
- Reinforcement Learning: A Tutorial.Mance E. Harmon, Stephanie S. Harmon · 1997 · Defense Technical Information Center (DTIC)
- Early- and Late-Born Parvalbumin Basket Cell Subpopulations Exhibiting Distinct Regulation and Roles in LearningDonato, Flavio, Chowdhury, Ananya, Lahr, Maria, Caroni, Pico · 2015 · Neuron
- URL: A unified reinforcement learning approach for autonomic cloud managementChengzhong Xu, Jia Rao, Xiangping Bu · 2011 · Journal of Parallel and Distributed Computing
- Intelligent on‐demand design of phononic metamaterialsYabin Jin, Liangshu He, Zhihui Wen, Bohayra Mortazavi, Hongwei Guo, Daniel Torrent, Bahram Djafari‐Rouhani, Timon Rabczuk, Xiaoying Zhuang, Yan Li · 2022 · Nanophotonics
- Learning in multiagent systemsSandip Sen, Gerhard Weiß · 1999
- Virtual Network Embedding via Monte Carlo Tree SearchSoroush Haeri, Ljiljana Trajković · 2017 · IEEE Transactions on Cybernetics
- Fault prognostics using dynamic wavelet neural networksPENG WANG, George Vachtsevanos · 2001 · Artificial intelligence for engineering design analysis and manufacturing
- Precomputing avatar behavior from human motion dataJehee Lee, Kang Hoon Lee · 2004 · Computer animation and simulation
- Optimisation of colour generation from dielectric nanostructures using reinforcement learningIman Sajedian, Trevon Badloe, Junsuk Rho · 2019 · Optics Express
- Adaptive Retrieval Agents: Internalizing Local Context and Scaling up to the WebFilippo Menczer, Richard K. Belew · 2000 · Machine Learning
- Optimized glycemic control of type 2 diabetes with reinforcement learning: a proof-of-concept trialWang, Guangyu, Liu, Xiaohong, Ying, Zhen, Yang, Guoxing, Chen, Zhiwei, Liu, Zhiwen, Zhang, Min, Yan, Hongmei, Lu, Yuxing, Gao, Yuanxu et al. · 2023 · Nature Medicine
- How instructed knowledge modulates the neural systems of reward learningJian Li, Mauricio R. Delgado, Elizabeth A. Phelps · 2010 · Proceedings of the National Academy of Sciences
- Reward feedback accelerates motor learningAli Asadi Nikooyan, Alaa A. Ahmed · 2014 · Journal of Neurophysiology
- Machine Learning Techniques for Personalised Medicine Approaches in Immune-Mediated Chronic Inflammatory Diseases: Applications and ChallengesJunjie Peng, Elizabeth C. Jury, Pierre Dönnes, Coziana Ciurtin · 2021 · Frontiers in Pharmacology
- Dealing with non-stationary environments using context detectionBruno C. da Silva, Eduardo W. Basso, Ana L. C. Bazzan, Paulo Martins Engel · 2006 · International Conference on Machine Learning
- E-Learning: Challenges and Research Opportunities Using Machine Learning & Data AnalyticsAbdallah Moubayed, MohammadNoor Injadat, Ali Bou Nassif, Hanan L. Lutfiyya, Abdallah A. Shami · 2018 · IEEE Access