<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Reinforcement Learning Neural Turing Machines - Revised · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1505.00521/</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/1505.00521/feed.xml" rel="self" type="application/rss+xml" /><item><title>Reinforcement Learning Neural Turing Machines - Revised — mentioned by GregarianChild</title><link>https://news.ycombinator.com/item?id=24852311</link><guid isPermaLink="false">urn:hackerpapers:mention:1505.00521:24852311</guid><pubDate>Wed, 21 Oct 2020 21:19:38 GMT</pubDate><description>&lt;p&gt;Reinforcement learning is Turing complete [1], so if AI is possible at all, then it can be realised through RL. cognitive psychology You are overselling the insights of this discipline. Has cognitive psychology solved its replication problems? Where is the world-beating AI that is based on &amp;quot;concept spaces&amp;quot;, &amp;quot;sparse representations&amp;quot;, &amp;quot;small-world networks&amp;quot; and &amp;quot;learning and memory&amp;quot; neuroscience? [1] https://arxiv.org/abs/1505.00521&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1505.00521/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Reinforcement Learning Neural Turing Machines - Revised — mentioned by visarga</title><link>https://news.ycombinator.com/item?id=11747888</link><guid isPermaLink="false">urn:hackerpapers:mention:1505.00521:11747888</guid><pubDate>Sun, 22 May 2016 09:11:40 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s very experimental. The great thing about them is that they open the possibility of building new types of interfaces like memory, stack, tape, database or search engine that work with neural networks in inference. See https://arxiv.org/pdf/1505.00521v3.pdf&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1505.00521/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Reinforcement Learning Neural Turing Machines - Revised — HN submission</title><link>https://news.ycombinator.com/item?id=9729741</link><guid isPermaLink="false">urn:hackerpapers:submission:1505.00521:9729741</guid><pubDate>Wed, 17 Jun 2015 02:03:39 GMT</pubDate><description>&lt;p&gt;Reinforcement Learning Neural Turing Machines&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1505.00521/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Reinforcement Learning Neural Turing Machines - Revised — mentioned by deepnet</title><link>https://news.ycombinator.com/item?id=9595714</link><guid isPermaLink="false">urn:hackerpapers:mention:1505.00521:9595714</guid><pubDate>Sun, 24 May 2015 08:43:55 GMT</pubDate><description>&lt;p&gt;In &amp;quot;Learning to Execute&amp;quot; by Zaremba &amp;amp; Sutskever http://arxiv.org/abs/1410.4615 An RNN learns snippets of python Their next paper is &amp;quot;Reinforcement Learning Neural Turing Machines&amp;quot; http://arxiv.org/abs/1505.00521 based on Graves &amp;quot;Neural Turing Machines&amp;quot; http://arxiv.org/abs/1410.5401, which attempts to infer algorithms from the result. In a lost BBC interview from 1951 Turing reputedly spoke of evolving cpu bitmasks for computation.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1505.00521/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Reinforcement Learning Neural Turing Machines - Revised — HN submission</title><link>https://news.ycombinator.com/item?id=9494634</link><guid isPermaLink="false">urn:hackerpapers:submission:1505.00521:9494634</guid><pubDate>Tue, 05 May 2015 20:08:37 GMT</pubDate><description>&lt;p&gt;Reinforcement Learning Neural Turing Machines&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;18 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1505.00521/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
