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	<title>Thread:User talk:Xor/Manifold Learning - Revision history</title>
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	<updated>2026-05-04T01:43:38Z</updated>
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		<id>http://robowiki.net/w/index.php?title=Thread:User_talk:Xor/Manifold_Learning&amp;diff=56931&amp;oldid=prev</id>
		<title>Xor: New thread: Manifold Learning</title>
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		<updated>2021-07-27T11:25:14Z</updated>

		<summary type="html">&lt;p&gt;New thread: Manifold Learning&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;[[Guess Factor]] based methods generalize well, based on priori knowledge about robots moving in circles &amp;amp; max escape angle. Better methods such as precise max escape angle helps greatly. However given enough samples, I wonder whether some deep enough model can learn the shape of escape envelop, as well as precise max escape angle, etc. And generalize even better.&lt;/div&gt;</summary>
		<author><name>Xor</name></author>
		
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