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Statistical Inference for Online Decision-Making: In a Contextual Bandit Setting
Online decision-making problem requires us to make a sequence of decisions based on incremental information. Common solutions often need to learn a reward model of different actions given the contextual information and then maximize the long-term reward. It is meaningful to know if the posited model...
Guardat en:
| Publicat a: | J Am Stat Assoc |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7962379/ https://ncbi.nlm.nih.gov/pubmed/33737759 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2020.1770098 |
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