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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>LASER: Learning a Latent Action Space for Efficient Reinforcement Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2103.15793/</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/2103.15793/feed.xml" rel="self" type="application/rss+xml" /><item><title>LASER: Learning a Latent Action Space for Efficient Reinforcement Learning — mentioned by hervature</title><link>https://news.ycombinator.com/item?id=27797545</link><guid isPermaLink="false">urn:hackerpapers:mention:2103.15793:27797545</guid><pubDate>Sun, 11 Jul 2021 00:38:40 GMT</pubDate><description>&lt;p&gt;The algorithm is called LASER: https://arxiv.org/pdf/2103.15793v2.pdf Again, this is goal-post moving. Just because we are not there yet, it does not mean it will not happen. We just solved it for one door, now we need to generalize.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2103.15793/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item><item><title>LASER: Learning a Latent Action Space for Efficient Reinforcement Learning — HN submission</title><link>https://news.ycombinator.com/item?id=26688738</link><guid isPermaLink="false">urn:hackerpapers:submission:2103.15793:26688738</guid><pubDate>Sun, 04 Apr 2021 11:55:30 GMT</pubDate><description>&lt;p&gt;Laser: Learning a Latent Action Space for Efficient Reinforcement Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;65 points; 9 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2103.15793/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.RO</category></item></channel></rss>
