<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Reinforcement Learning | Efficient AI</title><link>https://research.nvidia.com/labs/eai/tag/reinforcement-learning/</link><atom:link href="https://research.nvidia.com/labs/eai/tag/reinforcement-learning/index.xml" rel="self" type="application/rss+xml"/><description>Reinforcement Learning</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 08 Apr 2026 00:00:00 +0000</lastBuildDate><image><url>https://research.nvidia.com/labs/eai/media/icon_hu_f6c58f2ed9051eb5.png</url><title>Reinforcement Learning</title><link>https://research.nvidia.com/labs/eai/tag/reinforcement-learning/</link></image><item><title>FP4 Explore, BF16 Train: Diffusion Reinforcement Learning via Efficient Rollout Scaling</title><link>https://research.nvidia.com/labs/eai/publication/sol-rl/</link><pubDate>Wed, 08 Apr 2026 00:00:00 +0000</pubDate><guid>https://research.nvidia.com/labs/eai/publication/sol-rl/</guid><description>&lt;!-- Metadata: https://arxiv.org/abs/2604.06916v1
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