<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Markov Decision Process on Qian Jia</title><link>https://qian-jia.github.io/tags/markov-decision-process/</link><description>Recent content in Markov Decision Process on Qian Jia</description><generator>Hugo -- 0.145.0</generator><language>en</language><lastBuildDate>Sun, 30 Mar 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://qian-jia.github.io/tags/markov-decision-process/index.xml" rel="self" type="application/rss+xml"/><item><title>A Dynamic Patching Policy for Enterprise Information Systems</title><link>https://qian-jia.github.io/papers/dynamic-patching-policy/</link><pubDate>Sun, 30 Mar 2025 00:00:00 +0000</pubDate><guid>https://qian-jia.github.io/papers/dynamic-patching-policy/</guid><description>The present research proposes a novel dynamic patching policy (DPP) to minimize the total system cost.</description></item><item><title>Enabling Ultra-Fast Online Order Fulfillment: Efficient Inventory Management for Micro-Fulfillment Centers</title><link>https://qian-jia.github.io/papers/mfc-inventory-management/</link><pubDate>Sun, 30 Mar 2025 00:00:00 +0000</pubDate><guid>https://qian-jia.github.io/papers/mfc-inventory-management/</guid><description>In this paper, we propose an effective threshold-based policy to help retailers make well-informed decisions, by formulating the MFC inventory decision problem as a Markov decision process.</description></item></channel></rss>