Jan 31, 2023
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.
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.
Assistant professor in Financial Engineering and Operations Research. Writing about reinforcement learning, optimization problems, and data science.