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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.17490/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:27:26 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2406.17490/feed.xml" rel="self" type="application/rss+xml" /><item><title>BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO — HN submission</title><link>https://news.ycombinator.com/item?id=41651503</link><guid isPermaLink="false">urn:hackerpapers:submission:2406.17490:41651503</guid><pubDate>Wed, 25 Sep 2024 20:27:22 GMT</pubDate><description>&lt;p&gt;Show HN: Lego Meets AI: BricksRL to train your own Lego robot&lt;/p&gt;&lt;p&gt;We&amp;#x27;re excited to share that our paper on BricksRL, a library of RL algorithms that can be trained and deployed on affordable, custom LEGO robots, has been accepted at NeurIPS 2024 as a spotlight paper! As AI and machine learning continue to make waves, we believe it&amp;#x27;s essential to make reliable and affordable education tools available to the community. Not everyone has access to hundreds of GPUs, and understanding how ML works in practice can be challenging. That&amp;#x27;s why we&amp;#x27;ve been working on BricksRL, a collaboration between Universitat Pompeu Fabra and PyTorch. Our goal is to provide a fun…&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2406.17490/"&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>
