<?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 on Best of AI</title><link>https://bestofai.io/tags/reinforcement-learning/</link><description>Recent content in Reinforcement-Learning on Best of AI</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Sat, 03 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://bestofai.io/tags/reinforcement-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Xiaomi MiMo-V2.6-Pro</title><link>https://bestofai.io/models/mimo-v2-6-pro/</link><pubDate>Sat, 03 Oct 2026 00:00:00 +0000</pubDate><guid>https://bestofai.io/models/mimo-v2-6-pro/</guid><description>&lt;p&gt;Xiaomi open-sourced the MiMo-V2.6 line on September 22, 2026, made up of MiMo-V2.6-Flash, the flagship MiMo-V2.6-Pro, and a faster inference variant called MiMo-V2.6-Pro-UltraSpeed. The release leans on reinforcement-learning gains from Xiaomi&amp;rsquo;s research team, and the company cites inference throughput above 150 tokens per second as one of the family&amp;rsquo;s selling points. MiMo-V2.6-Pro ships under the MIT license.&lt;/p&gt;</description></item></channel></rss>