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Some performance considerations when using multi-armed bandit algorithms in the presence of missing data
When comparing the performance of multi-armed bandit algorithms, the potential impact of missing data is often overlooked. In practice, it also affects their implementation where the simplest approach to overcome this is to continue to sample according to the original bandit algorithm, ignoring miss...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467360/ https://www.ncbi.nlm.nih.gov/pubmed/36094920 http://dx.doi.org/10.1371/journal.pone.0274272 |