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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Rendering-Aware Reinforcement Learning for Vector Graphics Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2505.20793/</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/2505.20793/feed.xml" rel="self" type="application/rss+xml" /><item><title>Rendering-Aware Reinforcement Learning for Vector Graphics Generation — mentioned by porphyra</title><link>https://news.ycombinator.com/item?id=45959058</link><guid isPermaLink="false">urn:hackerpapers:mention:2505.20793:45959058</guid><pubDate>Mon, 17 Nov 2025 22:22:20 GMT</pubDate><description>&lt;p&gt;You can probably train models to be way better at generating SVG by reinforcement learning by rendering the SVG to an raster image and feeding it back into the vision model [1]. Same with, say, generating HTML/CSS webpages. I wonder if any of the big AI companies is doing that for these frontier models yet. [1] https://arxiv.org/abs/2505.20793&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2505.20793/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
