<?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>Planning on Xu'Blog</title><link>https://xuquant.com/tags/planning/</link><description>Recent content in Planning on Xu'Blog</description><image><title>Xu'Blog</title><url>https://xuquant.com/images/profile.jpg</url><link>https://xuquant.com/images/profile.jpg</link></image><generator>Hugo -- 0.152.2</generator><language>en</language><lastBuildDate>Sat, 15 Mar 2025 10:00:00 +0800</lastBuildDate><atom:link href="https://xuquant.com/tags/planning/index.xml" rel="self" type="application/rss+xml"/><item><title>Why Generative Planning? The Non-Convexity Argument Against Regression in Autonomous Driving</title><link>https://xuquant.com/posts/autodrive/generative-planning-nonconvex/</link><pubDate>Sat, 15 Mar 2025 10:00:00 +0800</pubDate><guid>https://xuquant.com/posts/autodrive/generative-planning-nonconvex/</guid><description>A first-principles analysis of why regression-based planners fail in autonomous driving: the feasible set is non-convex, MSE averages into obstacles, GMM is a patch not a solution, and generative approaches are necessary.</description></item></channel></rss>