Wei-Wei Wang

Model-based Bootstrap for Offline Policy Evaluation in Tabular Reinforcement Learning

Offline policy evaluation (OPE) is crucial in high-stakes reinforcement learning applications, where new policies must be assessed reliably before deployment. In such settings, point estimates alone are insufficient; principled uncertainty quantification, such as confidence intervals and variance estimates, is essentia...