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English(EN) Coverage Cliffs in Off-Policy Quantile Certification

新TailCert方法用于离线策略分位数认证的揭示

研究人员开发了一种名为TailCert的新方法,用于使用记录的上下文老虎机数据进行离线策略分位数认证。该技术构建了一个PAC-Bayes Bernstein下置信包络,用于认证所选策略的上尾分位数。TailCert还可以用于选择符合认证尾部约束的策略,理论分析详细说明了基于重叠因子、策略复杂性和安全裕度的样本量要求。 AI

影响 引入了一种用于评估离线策略的新统计方法,有可能改善强化学习应用中的决策制定。

排序理由 学术论文发布在arXiv上,详细介绍了一种新的认证方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新TailCert方法用于离线策略分位数认证的揭示

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Tool
学术论文发布在arXiv上,详细介绍了一种新的认证方法。[lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
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完整方法见我们的编辑标准。

报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Pauline Bourigault, Emmanuelle Bourigault ·

    Off-Policy Quantile Certification 的覆盖范围悬崖

    arXiv:2610.22565v1 Announce Type: new Abstract: We study when logged contextual-bandit data can certify an upper tail quantile for a policy selected from the same sample. We construct a PAC-Bayes Bernstein lower-confidence envelope for the target cumulative distribution function …