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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>PCGRL: Procedural Content Generation via Reinforcement Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2001.09212/</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/2001.09212/feed.xml" rel="self" type="application/rss+xml" /><item><title>PCGRL: Procedural Content Generation via Reinforcement Learning — HN submission</title><link>https://news.ycombinator.com/item?id=22170377</link><guid isPermaLink="false">urn:hackerpapers:submission:2001.09212:22170377</guid><pubDate>Tue, 28 Jan 2020 15:43:29 GMT</pubDate><description>&lt;p&gt;Pcgrl: Procedural Content Generation via Reinforcement Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;36 points; 2 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2001.09212/"&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>PCGRL: Procedural Content Generation via Reinforcement Learning — HN submission</title><link>https://news.ycombinator.com/item?id=22166700</link><guid isPermaLink="false">urn:hackerpapers:submission:2001.09212:22166700</guid><pubDate>Tue, 28 Jan 2020 05:27:20 GMT</pubDate><description>&lt;p&gt;Procedural Content Generation via Reinforcement Learning&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/2001.09212/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
