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Fully probabilistic design of strategies with estimator

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    SYSNO ASEP0556428
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleFully probabilistic design of strategies with estimator
    Author(s) Kárný, Miroslav (UTIA-B) RID, ORCID
    Number of authors1
    Article number110269
    Source TitleAutomatica. - : Elsevier - ISSN 0005-1098
    Roč. 141, č. 1 (2022)
    Number of pages6 s.
    Publication formPrint - P
    Languageeng - English
    CountryNL - Netherlands
    KeywordsBayes methods ; closed loop systems ; decision making ; dynamic programming ; estimation
    Subject RIVBB - Applied Statistics, Operational Research
    OECD categoryRobotics and automatic control
    R&D ProjectsLTC18075 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Method of publishingLimited access
    Institutional supportUTIA-B - RVO:67985556
    UT WOS000797650300001
    EID SCOPUS85127517743
    DOI10.1016/j.automatica.2022.110269
    AnnotationThe axiomatic fully probabilistic design (FDP) of decision strategies strictly extends Bayesian decision making (DM) theory. FPD also models the closed decision loop by a joint probability density (pd) of all inspected random variables, referred as behaviour. FPD expresses DM aims via an ideal pd of behaviours, unlike the usual DM. Its optimal strategy minimises Kullback–Leibler divergence (KLD) of the joint, strategy-dependent, pd of behaviours to its ideal twin. A range of FPD results confirmed its theoretical and practical strength. Curiously, no guide exists how to select a specific ideal pd for an estimator design. The paper offers it. It advocates the use of the closed-loop state notion and generalises dynamic programming so that FPD is its special case. Primarily, it provides an explorative optimised feedback that ‘‘naturally’’ diminishes exploration (gained in learning) as the learning progresses.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2023
    Electronic addresshttps://www.sciencedirect.com/science/article/pii/S0005109822001145?via%3Dihub
Number of the records: 1  

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