English(EN) Instance-Dependent Regret for CMDPs with Step-Wise Constraints

新的SVAE算法解决了约束马尔可夫决策过程问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-05 04:00

研究人员开发了一种名为安全方差自适应探索（SVAE）的新算法，用于约束马尔可夫决策过程（CMDPs）中的在线学习。该算法旨在有效学习这些过程中的安全子图，同时管理累积奖励的方差并控制约束违反。SVAE实现了特定的累积遗憾界限，并限制了步进约束违反，理论表明这些实例特定的依赖性是不可避免的。 AI

影响为在复杂、受约束的环境中优化决策引入了一种新颖的算法。

排序理由该条目是一篇学术论文，详细介绍了一种用于特定类型决策过程的新算法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Qian Zuo, Francesco Emanuele Stradi, Leyang Xue, Sattar Vakili · 2026-10-05 04:00

面向带步进约束的CMDP的实例相关遗憾

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