reference/27802283

Predicate	Object
contentType	Journal Article
endingPage	4810
issn	2168-2267 2168-2275
issueIdentifier	6
pageRange	4797-4810
publicationName	IEEE Transactions on Cybernetics
startingPage	4797
hasFundingAgency	http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_b3971a2830f3f2919843c8207a0cba3e http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_487baf6554eb36bb22c6138d90a7c50f http://rdf.ncbi.nlm.nih.gov/pubchem/organization/MD5_b91ce578f9afe87dafb9817033bb5ebe
bibliographicCitation	Tan C, Yang L, Wong WS. Learning-Based Control Policy and Regret Analysis for Online Quadratic Optimization With Asymmetric Information Structure. IEEE Trans Cybern. 2022 Jun;52(6):4797–810. doi: 10.1109/tcyb.2021.3049357. PMID: 33502987.
creator	http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0003-2343-9166 http://rdf.ncbi.nlm.nih.gov/pubchem/author/ORCID_0000-0001-6357-0981 http://rdf.ncbi.nlm.nih.gov/pubchem/author/MD5_f749cfdca0d90dd1b6d4e4932dc98ecc
date	202206
identifier	https://pubmed.ncbi.nlm.nih.gov/33502987 https://doi.org/10.1109/tcyb.2021.3049357
isPartOf	https://portal.issn.org/resource/ISSN/2168-2267 https://portal.issn.org/resource/ISSN/2168-2275 http://rdf.ncbi.nlm.nih.gov/pubchem/journal/41381
language	English
source	https://pubmed.ncbi.nlm.nih.gov/ https://www.crossref.org/
title	Learning-Based Control Policy and Regret Analysis for Online Quadratic Optimization With Asymmetric Information Structure

Total number of triples: 25.