English(EN) Switching-Geometry Analysis of Deflated Q-Value Iteration

新的Q值迭代分析采用切换几何方法

作者 PulseAugur 编辑部 · [1 个来源] · 2026-05-11 16:32

本文介绍了一种分析马尔可夫决策过程中Q值迭代的新框架，重点关注一种称为秩一降秩的技术。作者通过切换系统的几何学来解释算法的行为，提供了一种新颖的基于JSR的收敛性分析。他们的研究结果表明，降秩通过移除冗余分量，在不改变基本决策问题或由此产生的策略序列的情况下，提供了对收敛速度更精确的表征。 AI

影响为强化学习算法引入了更精确的收敛性分析，可能提高训练效率。

排序理由学术论文，详细介绍了对现有算法的新分析框架。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Donghwan Lee · 2026-05-11 16:32

Deflated Q-Value Iteration 的切换几何分析

This paper develops a joint spectral radius (JSR) framework for analyzing rank-one deflated Q-value iteration (Q-VI) in discounted Markov decision process control. Focusing on an all-ones residual correction, we interpret the resulting algorithm through the geometry of switching …