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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Horizon: Facebook's Open Source Applied Reinforcement Learning Platform · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1811.00260/</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/1811.00260/feed.xml" rel="self" type="application/rss+xml" /><item><title>Horizon: Facebook's Open Source Applied Reinforcement Learning Platform — mentioned by agbell</title><link>https://news.ycombinator.com/item?id=25991577</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.00260:25991577</guid><pubDate>Mon, 01 Feb 2021 18:23:51 GMT</pubDate><description>&lt;p&gt;Thanks! My understanding is they are looking at page management activity and whether it increases above what they would expect if they didn&amp;#x27;t notify. Some of the details are covered in the paper [1] &amp;gt;The Markov Decision Process (MDP) is based on a sequence of notification candidates for a particular person. The actions here are sending and dropping the notification, and the state describes a set of features about the person and the notification candidate. There are rewards for interactions and activity on Facebook, with a penalty for sending the notification to control the volume of…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.00260/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Horizon: Facebook's Open Source Applied Reinforcement Learning Platform — mentioned by xiphias2</title><link>https://news.ycombinator.com/item?id=18546260</link><guid isPermaLink="false">urn:hackerpapers:mention:1811.00260:18546260</guid><pubDate>Tue, 27 Nov 2018 20:17:06 GMT</pubDate><description>&lt;p&gt;The paper is here: https://arxiv.org/pdf/1811.00260.pdf It&amp;#x27;s interesting that it&amp;#x27;s already used for optimizing for long term value when deciding whether a push notification should be sent or not.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1811.00260/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
