Cautious Bayesian Optimization: A Line Tracker Case Study

In this paper, a procedure for experimental optimization under safety constraints, to be denoted as constraint-aware Bayesian Optimization, is presented. The basic ingredients are a performance objective function and a constraint function; both of them will be modeled as Gaussian processes. We incor...

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Detalles Bibliográficos
Autores principales: Girbés-Juan, Vicent, Moll, Joaquín, Sala, Antonio, Armesto, Leopoldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458219/
https://www.ncbi.nlm.nih.gov/pubmed/37631802
http://dx.doi.org/10.3390/s23167266

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458219/
https://www.ncbi.nlm.nih.gov/pubmed/37631802
http://dx.doi.org/10.3390/s23167266

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