<?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>Rl on Tristan Beolet</title><link>https://blog.tbeolet.com/tags/rl/</link><description>Recent content in Rl on Tristan Beolet</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 16 Oct 2023 00:00:00 +0000</lastBuildDate><atom:link href="https://blog.tbeolet.com/tags/rl/index.xml" rel="self" type="application/rss+xml"/><item><title>Paper: End-to-end Offline Reinforcement Learning for Glycemia Control</title><link>https://blog.tbeolet.com/posts/offline-rl-glycemia-control/</link><pubDate>Mon, 16 Oct 2023 00:00:00 +0000</pubDate><guid>https://blog.tbeolet.com/posts/offline-rl-glycemia-control/</guid><description>My first paper: training offline RL agents on real closed-loop data for type 1 diabetes, and personalizing them per patient without a simulator.</description></item></channel></rss>