<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1905.05567/</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/1905.05567/feed.xml" rel="self" type="application/rss+xml" /><item><title>TauRieL: Targeting Traveling Salesman Problem with a deep reinforcement learning inspired architecture — mentioned by vlovich123</title><link>https://news.ycombinator.com/item?id=24727012</link><guid isPermaLink="false">urn:hackerpapers:mention:1905.05567:24727012</guid><pubDate>Fri, 09 Oct 2020 05:05:18 GMT</pubDate><description>&lt;p&gt;Or use deep learning to generate solutions 2 orders of magnitude faster with some minor accuracy loss. https://arxiv.org/pdf/1905.05567.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1905.05567/"&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>
