English(EN) A PAC-Bayes Approach for Controlling Unknown Linear Discrete-time Systems

用于控制未知线性系统的新PAC-Bayes框架

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-11 12:51

本文介绍了一个PAC-Bayes框架，该框架旨在为未知的随机线性离散时间系统学习控制器。该研究提供了控制器性能的数据相关界限，并提出了具有理论保证的新学习算法。这些算法适用于有限和无限控制器空间，并在特定场景下提供与LQG控制器相当的性能。 AI

影响为控制系统引入了新颖的理论框架，可能对自主系统和机器人研究产生影响。

排序理由该集群包含一篇学术论文，详细介绍了针对特定控制问题的新理论框架和算法。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv stat.ML TIER_1 English(EN) · Jingge Zhu · 2026-05-11 12:51

一种用于控制未知线性离散时间系统的PAC-Bayes方法

This paper presents a PAC-Bayes framework for learning controllers for unknown stochastic linear discrete-time systems, where the system parameters are drawn from a fixed but unknown distribution. We derive a data-dependent high probability bound on the performance of any learned…