<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hierarchical Memory Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1605.07427/</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/1605.07427/feed.xml" rel="self" type="application/rss+xml" /><item><title>Hierarchical Memory Networks — mentioned by dharma1</title><link>https://news.ycombinator.com/item?id=11806169</link><guid isPermaLink="false">urn:hackerpapers:mention:1605.07427:11806169</guid><pubDate>Tue, 31 May 2016 12:38:09 GMT</pubDate><description>&lt;p&gt;&amp;quot;reinforcement learning agents with memory and attention&amp;quot; Here&amp;#x27;s a hybrid approach https://arxiv.org/abs/1605.07427&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1605.07427/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>stat.ML</category></item></channel></rss>
