<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DARLA: Improving Zero-Shot Transfer in Reinforcement Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1707.08475/</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/1707.08475/feed.xml" rel="self" type="application/rss+xml" /><item><title>DARLA: Improving Zero-Shot Transfer in Reinforcement Learning — mentioned by poppingtonic</title><link>https://news.ycombinator.com/item?id=14873742</link><guid isPermaLink="false">urn:hackerpapers:mention:1707.08475:14873742</guid><pubDate>Fri, 28 Jul 2017 12:35:19 GMT</pubDate><description>&lt;p&gt;ArXiv itself does this. See the &amp;#x27;cite as&amp;#x27; section of this one: https://arxiv.org/abs/1707.08475, which has the note arXiv:1707.08475 [stat.ML] (or arXiv:1707.08475v1 [stat.ML] for this version)&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1707.08475/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
