<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Reinforcement-Learning on Nemo's Blog</title><link>https://knightnemo.github.io/blog/tags/reinforcement-learning/</link><description>Recent content in Reinforcement-Learning on Nemo's Blog</description><generator>Hugo -- 0.137.1</generator><language>en-us</language><lastBuildDate>Fri, 23 Oct 2026 00:00:00 +0800</lastBuildDate><atom:link href="https://knightnemo.github.io/blog/tags/reinforcement-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>What Matters for Dexterous RL?</title><link>https://knightnemo.github.io/blog/posts/dexterous-rl/</link><pubDate>Fri, 23 Oct 2026 00:00:00 +0800</pubDate><guid>https://knightnemo.github.io/blog/posts/dexterous-rl/</guid><description>Reading notes on dexterous RL: reset distributions, goal-conditioned pretraining, structured exploration, motion tracking, contact priors and simulation.</description></item><item><title>Fantastic Mega-Scale RL Recipes and where to find them</title><link>https://knightnemo.github.io/blog/posts/mega-scale-rl/</link><pubDate>Sun, 11 Oct 2026 00:00:00 +0800</pubDate><guid>https://knightnemo.github.io/blog/posts/mega-scale-rl/</guid><description>Reading notes on Mega-Scale RL: batches, multiple policies, reset distributions and off-policy methods.</description></item><item><title>A Hitchhiker's Guide To Diffusion RL</title><link>https://knightnemo.github.io/blog/posts/diffusion-rl/</link><pubDate>Thu, 08 Oct 2026 15:00:00 +0800</pubDate><guid>https://knightnemo.github.io/blog/posts/diffusion-rl/</guid><description>From image and video generation to closed-loop robot control.</description></item></channel></rss>