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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...
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| Gepubliceerd in: | J Am Stat Assoc |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2020
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| Onderwerpen: | |
| Online toegang: | 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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