1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2503.14858/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:27:26 GMT1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities — HN submissionhttps://news.ycombinator.com/item?id=46541945urn:hackerpapers:submission:2503.14858:46541945Thu, 08 Jan 2026 15:13:18 GMT<p>1000 Layer Networks for Self-Supervised RL (NeurIPS 2025 Best Paper Award)</p><p></p><p>2 points; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2503.14858/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities — HN submissionhttps://news.ycombinator.com/item?id=46088633urn:hackerpapers:submission:2503.14858:46088633Sat, 29 Nov 2025 16:13:53 GMT<p>One Thousand Layer Networks for Self-Supervised RL</p><p></p><p>1 point; 0 discussion replies on HN. <a href="https://hackerpaper.kaipfister.de/p/2503.14858/">Paper and source history</a>. A submission is not an endorsement.</p>cs.LG