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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Emergence of Grounded Compositional Language in Multi-Agent Populations · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1703.04908/</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/1703.04908/feed.xml" rel="self" type="application/rss+xml" /><item><title>Emergence of Grounded Compositional Language in Multi-Agent Populations — mentioned by deepnet</title><link>https://news.ycombinator.com/item?id=14527251</link><guid isPermaLink="false">urn:hackerpapers:mention:1703.04908:14527251</guid><pubDate>Sat, 10 Jun 2017 13:33:29 GMT</pubDate><description>&lt;p&gt;Peter Abeel ( OP link author with Igor Mordatch ) explains his groups work [1] as a guest lecturer for Berkeley&amp;#x27;s cs294-112 Deep Reinforcement Robotics. [1] https://www.youtube.com/watch?v=f4gKhK8Q6mY&amp;amp;list=PLkFD6_40KJ... This great talk starts with his work at OpenAI on neural net safety and adverserial images, then the OP research paper Emergence of Grounded Compositional Language in Multi-Agent Populations[2] concluding with his work ( with Andrew Ng ) reinforcement learning helicopter flight and stunt controllers from human pilots. The OP multi-agents divide labour and apparent…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1703.04908/"&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>
