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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Increasing the Action Gap: New Operators for Reinforcement Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1512.04860/</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/1512.04860/feed.xml" rel="self" type="application/rss+xml" /><item><title>Increasing the Action Gap: New Operators for Reinforcement Learning — mentioned by backpropaganda</title><link>https://news.ycombinator.com/item?id=14909410</link><guid isPermaLink="false">urn:hackerpapers:mention:1512.04860:14909410</guid><pubDate>Wed, 02 Aug 2017 10:29:46 GMT</pubDate><description>&lt;p&gt;The kind of math that would be necessary to understand papers like [1][2][3][4]. [1]: https://arxiv.org/abs/1703.04933 [2]: https://arxiv.org/abs/1701.07875 [3]: https://arxiv.org/abs/1706.01350 [4]: https://arxiv.org/abs/1512.04860&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1512.04860/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
