Sim-to-Real Betting on the E-Process: Bringing "simulators" to anytime-valid confidence sequences
Research
Source: arXiv cs.ROPublish time unverified
arXiv:2606.24038v2 Announce Type: replace Abstract: This note describes an integration of the sim-to-real performance estimate with betting (from Chen et al.) and the safe anytime-valid inference (from Ramdas et al.). Using the scaled simulators. The method produces efficient, reliable certificates for the mean estimate, an approach that is especially valuable in robot performance testing.