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0543581 - ÚTIA 2022 RIV DE eng J - Journal Article
Kárný, Miroslav
Towards on-line tuning of adaptive-agent’s multivariate meta-parameter.
International Journal of Machine Learning and Cybernetics. Roč. 12, č. 9 (2021), s. 2717-2731. ISSN 1868-8071. E-ISSN 1868-808X
R&D Projects: GA MŠMT(CZ) LTC18075
Grant - others:The European Cooperation in Science and Technology (COST)(XE) CA16228
Institutional support: RVO:67985556
Keywords : Bayesian learning * Adaptive agent * Meta-parameter tuning * Fully probabilistic design * Kullback–Leibler divergence * Dynamic decision making
OECD category: Automation and control systems
Impact factor: 4.377, year: 2021
Method of publishing: Limited access
http://library.utia.cas.cz/separaty/2021/AS/karny-0543581.pdf https://link.springer.com/article/10.1007/s13042-021-01358-w
Permanent Link: http://hdl.handle.net/11104/0320766