<?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>Tristan Beolet</title><link>https://blog.tbeolet.com/</link><description>Recent content 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/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><item><title>About</title><link>https://blog.tbeolet.com/about/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://blog.tbeolet.com/about/</guid><description>&lt;p&gt;I&amp;rsquo;m Tristan Beolet. I work on AI, robotics and reinforcement learning, and this blog is where I
write up the things I build, break and fix along the way.&lt;/p&gt;
&lt;p&gt;Expect notes on training agents, getting policies to behave on real hardware, and the tooling
in between. The code for project posts lives in separate repositories, linked from each post.&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;GitHub: &lt;a href="https://github.com/TristanBEOLET"&gt;TristanBEOLET&lt;/a&gt;&lt;/li&gt;
&lt;li&gt;LinkedIn: &lt;a href="https://www.linkedin.com/in/tristan-beolet"&gt;tristan-beolet&lt;/a&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>