<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Learning Quickly to Plan Quickly Using Modular Meta-Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1809.07878/</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/1809.07878/feed.xml" rel="self" type="application/rss+xml" /><item><title>Learning Quickly to Plan Quickly Using Modular Meta-Learning — mentioned by Michaelanjello</title><link>https://news.ycombinator.com/item?id=18587117</link><guid isPermaLink="false">urn:hackerpapers:mention:1809.07878:18587117</guid><pubDate>Mon, 03 Dec 2018 08:00:49 GMT</pubDate><description>&lt;p&gt;Learning Quickly to Plan Quickly Using Modular Meta-Learning https://arxiv.org/abs/1809.07878 Automatically Composing Representation Transformations as a Means for Generalization https://arxiv.org/abs/1807.04640 Modular meta-learning https://arxiv.org/abs/1806.10166 Omega: An Architecture for AI Unification https://arxiv.org/abs/1805.12069 Cortex Neural Network: learning with Neural Network groups https://arxiv.org/abs/1804.03313 Evolutionary Architecture Search For Deep Multitask Networks https://arxiv.org/abs/1803.03745&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1809.07878/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
