待翻译：Sim-to-Real Betting on the E-Process: Bringing "simulators" to anytime-valid confidence sequences

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[2606.24038] Sim-to-Real Betting on the E-Process: Bringing "simulators" to anytime-valid confidence sequences [Submitted on 23 Jun 2026] Title:Sim-to-Real Betting on the E-Process: Bringing "simulators" to anytime-valid confidence sequences View a PDF of the paper titled Sim-to-Real Betting on the E-Process: Bringing "simulators" to anytime-valid confidence sequences, by Yujia Chen and Bowen Weng View PDF HTML (experimental) 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. This note gives a primary, self-contained account of the construction; preliminaries of the respective methods are kept at a minimum, and one shall refer to the original works for full detail. Some synthetic examples demonstrating the proposed algorithm can be found at this https URL. Comments: Affiliated open source code at: this https URL Subjects: Robotics (cs.RO); Probability (math.PR) Cite as: arXiv:2606.24038 [cs.RO] (or arXiv:2606.24038v1 [cs.RO] for this version) https://doi.org/10.48550/arXiv.2606.24038 arXiv-issued DOI via DataCite (pending registration) Submission history From: Bowen Weng [view email] [v1] Tue, 23 Jun 2026 00:38:41 UTC (5 KB) Full-text links: Access Paper: View a PDF of the paper titled Sim-to-Real Betting on the E-Process: Bringing "simulators" to anytime-valid confidence sequences, by Yujia Chen and Bowen Weng View PDF HTML (experimental) TeX Source view license Current browse context: cs.RO new | recent | 2026-06 Change to browse by: cs math math.PR References & Citations NASA ADS Google Scholar Semantic Scholar Loading... Data provided by: Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)