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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1901.02705/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1901.02705/feed.xml" rel="self" type="application/rss+xml" /><item><title>Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic — mentioned by leesec</title><link>https://news.ycombinator.com/item?id=24853052</link><guid isPermaLink="false">urn:hackerpapers:mention:1901.02705:24853052</guid><pubDate>Wed, 21 Oct 2020 22:43:54 GMT</pubDate><description>&lt;p&gt;(1) Skip to 1:03:00. George Hotz comments on the paper (2) Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic: 1. https://www.youtube.com/watch?v=yhzU43ewcEA 2. https://arxiv.org/abs/1901.02705&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1901.02705/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
