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A Dynamic Programming Algorithm for Finding an Optimal Sequence of Informative Measurements
An informative measurement is the most efficient way to gain information about an unknown state. We present a first-principles derivation of a general-purpose dynamic programming algorithm that returns an optimal sequence of informative measurements by sequentially maximizing the entropy of possible...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955913/ https://www.ncbi.nlm.nih.gov/pubmed/36832617 http://dx.doi.org/10.3390/e25020251 |