English(EN) Quasipolynomial-Time Planning for Decodable POMDPs

新算法实现可解码POMDPs的拟多项式时间规划

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-09 05:00

研究人员为部分可观察马尔可夫决策过程（POMDPs）的规划开发了新算法。这些算法在一种称为$\rho$-可解码POMDPs的POMDPs类别中实现了拟多项式时间的近似规划。研究表明，可解码性是一个统一的假设，它比完全可观察性更弱，并且可以被有效地计算出来，为在复杂环境中进行规划提供了一种实用的方法。 AI

影响为复杂的决策系统引入了一种更有效的规划方法，可能影响不确定环境中的AI代理。

排序理由详细介绍特定类别决策过程新算法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

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arXiv stat.ML TIER_1 English(EN) · Oliver Dobson, Varun Jog, Chun Hei Michael Shiu · 2026-11-09 05:00

可解码POMDPs的拟多项式时间规划

arXiv:2611.09778v1 Announce Type: cross Abstract: We study planning for finite-horizon partially observable Markov decision processes (POMDPs) with finite state, action, and observation spaces. Both exact and approximate planning are known to be computationally hard in this setti…

本文如何被排名

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可解码POMDPs的拟多项式时间规划

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