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SVAE算法:带逐步约束的CMDP实例相关遗憾界

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2026年10月5日,arXiv Machine Learning Theory(一手来源)发布研究,针对带逐步安全约束的episodic tabular约束马尔可夫决策过程(CMDP),提出Safe Variance-Adaptive Exploration(SVAE)算法。该算法在学习安全子图的同时进行方差自适应乐观规划。目前报道仅介绍算法框架与问题设定,未披露具体遗憾界数值、实验结果或与其他方法的对比。

Generated from reports · updated 15 hr ago

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Oct 5, 2026
  1. arXiv · Machine Learning Theory
    含逐步约束 CMDP 的实例相关遗憾界研究

    该研究针对带逐步安全约束的 episodic tabular 约束马尔可夫决策过程(CMDP),提出 Safe Variance-Adaptive Exploration(SVAE)算法,在学习安全子图的同时进行方差自适应乐观规划。

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