Výsledky vyhľadávania - "Kernel-based Reinforcement Learning"

Near-Optimal Sample Complexity in Reward-Free Kernel-Based Reinforcement Learning

Autori: Kayal, Aya Vakili, Sattar Toni, Laura a ďalší

Predmety: Machine Learning, FOS: Computer and information sciences, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2502.07715

Adaptive Software-Defined Network Control Using Kernel-Based Reinforcement Learning: An Empirical Study

Autori: Yedil Nurakhov Abzal Kyzyrkanov Zhenis Otarbay a ďalší

Zdroj: Applied Sciences, Vol 15, Iss 23, p 12349 (2025)

Predmety: software-defined networking, reinforcement learning, kernel methods, reproducing kernel Hilbert space, adaptive network control, non-stationary environments, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis súboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/23/12349; https://doaj.org/toc/2076-3417

Prístupová URL adresa: https://doaj.org/article/0086f9d5e33e43e2b4aa947a26826a8c

DYNAMIC SELECTION OF P-NORM IN LINEAR ADAPTIVE FILTERING VIA ONLINE KERNEL-BASED REINFORCEMENT LEARNING

Autori: Konstantinos Slavakis Yuki Akiyama Minh Vu

Zdroj: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :1-5

Predmety: Signal Processing (eess.SP), FOS: Computer and information sciences, Computer Science - Machine Learning, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Electrical Engineering and Systems Science - Signal Processing, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2210.11317

Open Problem: Order Optimal Regret Bounds for Kernel-Based Reinforcement Learning

Autori: Vakili, Sattar

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Machine Learning (cs.LG)

Prístupová URL adresa: http://arxiv.org/abs/2406.15250

Kernel-Based Reinforcement Learning on Representative States

Autori: Branislav Kveton Georgios Theocharous

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 26:977-983

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning.

Autori: Vu, Duc Tuan Minh Akiyama, Yuki SLAVAKIS, KONSTANTINOS a ďalší

Témy: Conference Paper., NA.

URL: https://doi.org/10.1109/ICASSP49357.2023.10096825
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100885816

Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning

Autori: Vu, Minh Akiyama, Yuki Slavakis, Konstantinos

Témy: Electrical Engineering and Systems Science - Signal Processing, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/2210.11317

Kernel-Based Reinforcement Learning: A Finite-Time Analysis

Autori: Domingues, Omar Ménard, Pierre Pirotta, Matteo a ďalší

Prispievatelia: Domingues, Omar Ménard, Pierre Pirotta, Matteo a ďalší

Predmety: FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, 01 natural sciences, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], 0105 earth and related environmental sciences, Machine Learning (cs.LG)

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2004.05599
https://inria.hal.science/hal-02541790v2/document
https://inria.hal.science/hal-02541790v2

Velocity control in a right-turn across traffic scenario for autonomous vehicles using kernel-based reinforcement learning

Autori: Hong Chen Zhang Yuxiang Lulu Guo a ďalší

Zdroj: 2017 Chinese Automation Congress (CAC). :6211-6216

Predmety: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://ieeexplore.ieee.org/document/8243896/

Practical Kernel-Based Reinforcement Learning

Autori: Joelle Pineau Doina Precup Andre Barreto

Zdroj: Journal of Machine Learning Research. 17(1):2372-2441

Predmety: FOS: Computer and information sciences, 68T05 (Primary), 93E35, 90C40, 93E20, 49L20 (Secondary), Computer Science - Machine Learning, 0209 industrial biotechnology, I.2.8, I.2.6, G.3, Computer Science - Artificial Intelligence, Machine Learning (stat.ML), 02 engineering and technology, Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Statistics - Machine Learning, 0202 electrical engineering, electronic engineering, information engineering

Prístupová URL adresa: http://arxiv.org/abs/1407.5358
https://dl.acm.org/doi/10.5555/2946645.3007020
https://dblp.uni-trier.de/db/journals/corr/corr1407.html#BarretoPP14
https://arxiv.org/abs/1407.5358
https://arxiv.org/pdf/1407.5358v1
http://dblp.uni-trier.de/db/journals/jmlr/jmlr17.html#BarretoPP16
http://ui.adsabs.harvard.edu/abs/2014arXiv1407.5358B/abstract

Kernel-Based Reinforcement Learning: A Finite-Time Analysis

Autori: Domingues, Omar Darwiche Ménard, Pierre Pirotta, Matteo a ďalší

Témy: Computer Science - Machine Learning, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2004.05599

Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning

Autori: Peng, Xuefeng Ding, Yi Wihl, David a ďalší

Zdroj: AMIA ... Annual Symposium proceedings. AMIA Symposium. 2018

Predmety: 0301 basic medicine, FOS: Computer and information sciences, Computer Science - Machine Learning, 0303 health sciences, Computer Science - Artificial Intelligence, Observation, Machine Learning (stat.ML), 3. Good health, Machine Learning (cs.LG), Machine Learning, Intensive Care Units, 03 medical and health sciences, Deep Learning, Artificial Intelligence (cs.AI), Statistics - Machine Learning, Sepsis, Fluid Therapy, Humans, Vasoconstrictor Agents, Infusions, Intravenous, Medical History Taking, Retrospective Studies

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/30815131
http://arxiv.org/abs/1901.04670

Structured Kernel-Based Reinforcement Learning

Autori: Branislav Kveton Georgios Theocharous

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 27:569-575

Predmety: 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dynamic Selection of p-norm in Linear Adaptive Filtering via online Kernel-based Reinforcement Learning

Autori: Vu, Minh Akiyama, Yuki Slavakis, Konstantinos

Zdroj: ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ; page 1-5

Dostupnosť: https://doi.org/10.1109/icassp49357.2023.10096825
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096825.pdf?arnumber=10096825

Kernel-based reinforcement learning for traffic signal control with adaptive feature selection

Autori: Tianshu Chu Jie Wang Jian Cao

Zdroj: 53rd IEEE Conference on Decision and Control. :1277-1282

Predmety: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Prístupová URL adresa: https://ieeexplore.ieee.org/document/7039557/
https://dblp.uni-trier.de/db/conf/cdc/cdc2014.html#ChuWC14
https://doi.org/10.1109/CDC.2014.7039557

A kernel-based reinforcement learning approach to stochastic pole balancing control systems

Autori: Peng Chengzhang Xin Xu Han-gen He a ďalší

Zdroj: 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics. :1329-1334

Predmety: 0209 industrial biotechnology, 02 engineering and technology

Prístupová URL adresa: https://ieeexplore.ieee.org/document/5695878/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000005695878

Kernel-Based Reinforcement Learning: Kernel-based reinforcement learning

Autori: Ormoneit, Dirk Sen, Śaunak

Zdroj: Machine Learning. 49:161-178

Predmety: reinforcement learning, Computational learning theory, Gaussian process, Markov decision process

Popis súboru: application/xml

Prístupová URL adresa: https://link.springer.com/content/pdf/10.1023%2FA%3A1017928328829.pdf
https://zbmath.org/1764825
https://doi.org/10.1023/a:1017928328829

Multi-robot Formation Control with Kernel-based Reinforcement Learning

Autori: Jun Wu Xin Xu Chuanqiang Lian a ďalší

Zdroj: ROBOT. 33:379-384

Predmety: 0209 industrial biotechnology, 02 engineering and technology

Prístupová URL adresa: http://pub.chinasciencejournal.com/article/getArticleRedirect.action?doiCode=10.3724/SP.J.1218.2011.00379

Kernel-Based Reinforcement Learning

Zdroj: Encyclopedia of Machine Learning and Data Mining ISBN: 9781489976857

Kernel-based reinforcement learning in average-cost problems

Autori: Dirk Ormoneit Peter W. Glynn

Zdroj: IEEE Transactions on Automatic Control. 47:1624-1636

Predmety: 0209 industrial biotechnology, 02 engineering and technology, 0101 mathematics, 01 natural sciences