# AnyRank: A Reliable Ranking Method for Robot Policies Based on Sequential Testing

- Source: arXiv cs.RO
- Published: 2026-10-19T04:00:00.000Z
- RoboHot: https://robohot.news/en/items/cfkfiqfz6kmqd76z8av5o6z78
- Original: https://arxiv.org/abs/2610.14603

## Summary

AnyRank proposes a sequential method for multi-policy ranking that adaptively allocates trials to policies that are hard to distinguish, provides a (partial) ranking at any stopping time, and bounds the probability of an incorrect ranking. The method can optionally use prior information (such as expert intuition, a small set of held-out hardware evaluations, or policy rollouts from a simulator or an action-conditioned video world model) to improve hardware evaluation efficiency, and inaccurate priors do not break its statistical guarantees.