Inference on the Value of Policy Improvement in Adaptive Experiments
arXiv:2610.15789v1 Announce Type: new Abstract: In this paper, we develop an asymptotically normal estimator for the value of policy improvement (VPI) under adaptively collected data. This value, which is defined as the gap between the value of the best treatment policy in a class and that of a bas…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-14 04:00 · arXiv stat.ML
Inference on the Value of Policy Improvement in Adaptive Experiments