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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2102.04518/</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/2102.04518/feed.xml" rel="self" type="application/rss+xml" /><item><title>A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks — mentioned by T-A</title><link>https://news.ycombinator.com/item?id=38398512</link><guid isPermaLink="false">urn:hackerpapers:mention:2102.04518:38398512</guid><pubDate>Thu, 23 Nov 2023 22:44:14 GMT</pubDate><description>&lt;p&gt;By way of [1], here [2] is a paper about A* also posted under CS/AI. It introduces &amp;quot;Q* search, a search algorithm that uses deep Q-networks to guide search&amp;quot; and uses it &amp;quot;to solve the Rubik&amp;#x27;s cube&amp;quot;, the thing which Gary Marcus complained about OpenAI not having done with a neural network in 2019. As pointed out by techbro92 [3] the authors do not seem to be affiliated with OpenAI, but AFAIK nobody claimed that OpenAI invented Q*. It&amp;#x27;s not hard to imagine OpenAI trying it out with their Rubik-solving robot hand and then starting to think about other things it might be applied to. [1]…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2102.04518/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks — HN submission</title><link>https://news.ycombinator.com/item?id=38395959</link><guid isPermaLink="false">urn:hackerpapers:submission:2102.04518:38395959</guid><pubDate>Thu, 23 Nov 2023 18:38:50 GMT</pubDate><description>&lt;p&gt;A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;38 points; 3 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2102.04518/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks — mentioned by jansan</title><link>https://news.ycombinator.com/item?id=38393188</link><guid isPermaLink="false">urn:hackerpapers:mention:2102.04518:38393188</guid><pubDate>Thu, 23 Nov 2023 14:35:47 GMT</pubDate><description>&lt;p&gt;There is a paper about something called Q*. I have no idea if they are connected or if the name matched coincidentially. https://arxiv.org/abs/2102.04518&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2102.04518/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
