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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Deep Imitative Models for Flexible Inference, Planning, and Control · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1810.06544/</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/1810.06544/feed.xml" rel="self" type="application/rss+xml" /><item><title>Deep Imitative Models for Flexible Inference, Planning, and Control — HN submission</title><link>https://news.ycombinator.com/item?id=21142348</link><guid isPermaLink="false">urn:hackerpapers:submission:1810.06544:21142348</guid><pubDate>Thu, 03 Oct 2019 00:30:22 GMT</pubDate><description>&lt;p&gt;Deep Imitative Models for Flexible Inference, Planning, and Control&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1810.06544/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Deep Imitative Models for Flexible Inference, Planning, and Control — mentioned by cr4zy</title><link>https://news.ycombinator.com/item?id=20237714</link><guid isPermaLink="false">urn:hackerpapers:mention:1810.06544:20237714</guid><pubDate>Thu, 20 Jun 2019 21:46:24 GMT</pubDate><description>&lt;p&gt;Related recent research that handles decoy waypoints [1][2]. They use imitation learning for path planning directly from sensor data, instead of just using machine learning for perception, tracking, prediction and doing MPC/LQR for the planner. This allows inferring weird paths, perhaps, like &amp;quot;run into this narrow pit stop&amp;quot; :) [1] https://arxiv.org/abs/1810.06544 [2] https://sites.google.com/view/imitativeforecastingcontrol&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1810.06544/"&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>
