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Small data sets aggravate the problem indeed. What is interesting is that the estimator is inherently biased; even with abundant training data the overestimation problem will not be fully resolved.

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Wouter van Heeswijk, PhD
Wouter van Heeswijk, PhD

Written by Wouter van Heeswijk, PhD

Assistant professor in Financial Engineering and Operations Research. Writing about reinforcement learning, optimization problems, and data science.

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