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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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Bibliografski detalji
Izdano u:J Am Stat Assoc
Glavni autori: Chen, Haoyu, Lu, Wenbin, Song, Rui
Format: Artigo
Jezik:Inglês
Izdano: 2020
Teme:
Online pristup: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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