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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2206.15378/</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/2206.15378/feed.xml" rel="self" type="application/rss+xml" /><item><title>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning — mentioned by smokel</title><link>https://news.ycombinator.com/item?id=49937262</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.15378:49937262</guid><pubDate>Fri, 02 Oct 2026 19:05:55 GMT</pubDate><description>&lt;p&gt;This puts the earlier &amp;quot;Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning&amp;quot;, 2022 [1] in some perspective. Apparently the &amp;quot;mastering&amp;quot; in 2022 wasn&amp;#x27;t quite there yet. Four years later, the new approach seems to actually be better than humans. [1] https://arxiv.org/abs/2206.15378&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.15378/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning — mentioned by michalsustr</title><link>https://news.ycombinator.com/item?id=45732904</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.15378:45732904</guid><pubDate>Tue, 28 Oct 2025 13:51:02 GMT</pubDate><description>&lt;p&gt;I&amp;#x27;m not working on game-related topics lately, I&amp;#x27;m in the industry now (algo-trading) and also little bit out of touch. &amp;gt; Has there been any meaningful progress after that? There are attempts [0] at making the algorithms work for exponentially large beliefs (=ranges). In poker, these are constant-sized (players receive 2 cards in the beginning), which is not the case in most games. In many games you repeatedly draw cards from a deck and the number of histories/infosets grows exponentially. But nothing works well for search yet, and it is still open problem. For just policy learning without…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.15378/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning — mentioned by beefman</title><link>https://news.ycombinator.com/item?id=33823323</link><guid isPermaLink="false">urn:hackerpapers:mention:2206.15378:33823323</guid><pubDate>Thu, 01 Dec 2022 21:46:55 GMT</pubDate><description>&lt;p&gt;The paper is sadly paywalled. I believe this is the preprint: https://arxiv.org/abs/2206.15378&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2206.15378/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning — HN submission</title><link>https://news.ycombinator.com/item?id=32057459</link><guid isPermaLink="false">urn:hackerpapers:submission:2206.15378:32057459</guid><pubDate>Mon, 11 Jul 2022 15:32:04 GMT</pubDate><description>&lt;p&gt;Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;131 points; 77 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2206.15378/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning — HN submission</title><link>https://news.ycombinator.com/item?id=32041481</link><guid isPermaLink="false">urn:hackerpapers:submission:2206.15378:32041481</guid><pubDate>Sun, 10 Jul 2022 03:03:20 GMT</pubDate><description>&lt;p&gt;Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2206.15378/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning — HN submission</title><link>https://news.ycombinator.com/item?id=31995477</link><guid isPermaLink="false">urn:hackerpapers:submission:2206.15378:31995477</guid><pubDate>Wed, 06 Jul 2022 00:39:42 GMT</pubDate><description>&lt;p&gt;Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2206.15378/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning — HN submission</title><link>https://news.ycombinator.com/item?id=31949441</link><guid isPermaLink="false">urn:hackerpapers:submission:2206.15378:31949441</guid><pubDate>Fri, 01 Jul 2022 17:04:39 GMT</pubDate><description>&lt;p&gt;DeepNash: Mastering the Game of Stratego with Model-Free Multiagent RL&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2206.15378/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning — HN submission</title><link>https://news.ycombinator.com/item?id=31943362</link><guid isPermaLink="false">urn:hackerpapers:submission:2206.15378:31943362</guid><pubDate>Fri, 01 Jul 2022 07:11:40 GMT</pubDate><description>&lt;p&gt;DeepMind: Mastering the Game of Stratego with Model-Free Multiagent RL&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;3 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2206.15378/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
