<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1812.03079/</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/1812.03079/feed.xml" rel="self" type="application/rss+xml" /><item><title>ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst — mentioned by mkolodny</title><link>https://news.ycombinator.com/item?id=21498045</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.03079:21498045</guid><pubDate>Sun, 10 Nov 2019 14:25:57 GMT</pubDate><description>&lt;p&gt;Fortunately, some companies do share a significant amount of what their cars have learned so far. Uber publishes a ton of papers about their self-driving research [0][1]. Waymo released an open autonomous driving dataset, and publishes papers as well [2][3]. Of course, papers and data aren&amp;#x27;t code. But I think a lot more is being shared than people realize. [0] https://eng.uber.com/author/raquel-urtasun/ [1] https://eng.uber.com/research/?_sft_category=research-self-d... [2] https://waymo.com/open [3] https://arxiv.org/pdf/1812.03079.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.03079/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item><item><title>ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst — mentioned by strangecosmos</title><link>https://news.ycombinator.com/item?id=19016128</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.03079:19016128</guid><pubDate>Mon, 28 Jan 2019 09:09:38 GMT</pubDate><description>&lt;p&gt;Key excerpt: “Tesla’s cars collect so much camera and other sensor data as they drive around, even when Autopilot isn’t turned on, that the Autopilot team can examine what traditional human driving looks like in various driving scenarios and mimic it, said the person familiar with the system. It uses this information as an additional factor to plan how a car will drive in specific situations—for example, how to steer a curve on a road or avoid an object. Such an approach has its limits, of course: behavior cloning, as the method is sometimes called… But Tesla’s engineers believe that by…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.03079/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item><item><title>ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst — HN submission</title><link>https://news.ycombinator.com/item?id=18657923</link><guid isPermaLink="false">urn:hackerpapers:submission:1812.03079:18657923</guid><pubDate>Tue, 11 Dec 2018 19:15:00 GMT</pubDate><description>&lt;p&gt;ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1812.03079/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item><item><title>ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst — mentioned by kyrra</title><link>https://news.ycombinator.com/item?id=18656282</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.03079:18656282</guid><pubDate>Tue, 11 Dec 2018 16:12:45 GMT</pubDate><description>&lt;p&gt;Also the paper that goes with this (has more details), which is linked at the end of the article. https://arxiv.org/abs/1812.03079&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.03079/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item><item><title>ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst — HN submission</title><link>https://news.ycombinator.com/item?id=18652478</link><guid isPermaLink="false">urn:hackerpapers:submission:1812.03079:18652478</guid><pubDate>Tue, 11 Dec 2018 00:50:27 GMT</pubDate><description>&lt;p&gt;Learning to Drive by Imitating the Best and Synthesizing the Worst&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;7 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1812.03079/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item><item><title>ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst — mentioned by anant90</title><link>https://news.ycombinator.com/item?id=18652184</link><guid isPermaLink="false">urn:hackerpapers:mention:1812.03079:18652184</guid><pubDate>Mon, 10 Dec 2018 23:50:44 GMT</pubDate><description>&lt;p&gt;Original Medium post: https://medium.com/waymo/learning-to-drive-beyond-pure-imita... ArXiv link: https://arxiv.org/abs/1812.03079&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1812.03079/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item></channel></rss>
