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Knowledge Gradient: Capturing Value of Information in Iterative Decisions under Uncertainty

Many real-life problems that involve decisions under uncertainty are often sequentially repeated and can be approached iteratively. Knowledge Gradient (KG) formulates the decision-under-uncertainty problem into repeatedly estimating the value of information observed from each possible decisions and...

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Bibliografski detalji
Glavni autor: Donghun Lee
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2022-11-01
Serija:Mathematics
Teme:
Online pristup:https://www.mdpi.com/2227-7390/10/23/4527
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