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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2205.15967/</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/2205.15967/feed.xml" rel="self" type="application/rss+xml" /><item><title>You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments — mentioned by d4rkp4ttern</title><link>https://news.ycombinator.com/item?id=31630082</link><guid isPermaLink="false">urn:hackerpapers:mention:2205.15967:31630082</guid><pubDate>Sun, 05 Jun 2022 11:45:36 GMT</pubDate><description>&lt;p&gt;Online Decision Transformer https://arxiv.org/abs/2202.05607 A very recent follow up paper on DT, addressing the limitations of the conditioning on reward, but still offline: https://arxiv.org/abs/2205.15967 Reddit discussion: https://reddit.com/r/MachineLearning/comments/v2sul7/r_you_c...&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2205.15967/"&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>
