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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2007.10504/</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/2007.10504/feed.xml" rel="self" type="application/rss+xml" /><item><title>Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop — mentioned by ArtWomb</title><link>https://news.ycombinator.com/item?id=23997029</link><guid isPermaLink="false">urn:hackerpapers:mention:2007.10504:23997029</guid><pubDate>Thu, 30 Jul 2020 11:50:44 GMT</pubDate><description>&lt;p&gt;The power of community multi-agent simulations lie in participatory environments. Every geospatially dispersed team shares their collected data and eventually this is how the world gets solved. I wish I had more time to participate! I noticed an interesting Human-in-the-Loop Learning (HILL) challenge running BattleSnake with AWS SageMaker. It&amp;#x27;s a well-known, time-tested result. Agents + Humans consistently outperform either humans or agents alone ;) Battlesnake Challenge: A Multi-agent Reinforcement Learning Playground with Human-in-the-loop https://arxiv.org/abs/2007.10504&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2007.10504/"&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>
