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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1611.03852/</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/1611.03852/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models — mentioned by ssivark</title><link>https://news.ycombinator.com/item?id=14865178</link><guid isPermaLink="false">urn:hackerpapers:mention:1611.03852:14865178</guid><pubDate>Thu, 27 Jul 2017 13:47:14 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m really looking forward to the Berkeley bootcamp! I wonder if there is any online forum or discussion group for participants, or maybe we should form one? It would be great to get introduced to folks in advance, especially because the workshop is very short. One of the things that really excites me is the possibility of conceptual breakthroughs, the following paper as an example direction: https://arxiv.org/abs/1611.03852&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1611.03852/"&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>
