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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning to Win by Reading Manuals in a Monte-Carlo Framework · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1401.5390/</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/1401.5390/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning to Win by Reading Manuals in a Monte-Carlo Framework — mentioned by gwern</title><link>https://news.ycombinator.com/item?id=31742873</link><guid isPermaLink="false">urn:hackerpapers:mention:1401.5390:31742873</guid><pubDate>Tue, 14 Jun 2022 17:27:53 GMT</pubDate><description>&lt;p&gt;Because Nethack and video games remove most of the reasons that GOFAI failed; for example, everything hard about perception from pixels is removed when you have a little parsed text grid of cells presented to you or are hooked into the game engine and query objects directly. (The real world is not made of a clean little grid of discrete high-level objects like &amp;#x27;dragon&amp;#x27; or &amp;#x27;black jelly&amp;#x27;.) Moravec&amp;#x27;s paradox again: humans find perception easy but things like Sokoban hard, while GOFAI approaches find Sokoban so trivial that it&amp;#x27;s common to use it (or Sudoku) as a toy problem introduction to…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1401.5390/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
