<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Representation Learning | Florent Delgrange</title><link>https://delgrange.me/tag/representation-learning/</link><atom:link href="https://delgrange.me/tag/representation-learning/index.xml" rel="self" type="application/rss+xml"/><description>Representation Learning</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Fri, 23 May 2025 00:00:00 +0000</lastBuildDate><image><url>https://delgrange.me/media/icon_hu55be7e40e5cc7772513f5d192dadedff_14178_512x512_fill_lanczos_center_3.png</url><title>Representation Learning</title><link>https://delgrange.me/tag/representation-learning/</link></image><item><title>Composing Reinforcement Learning Policies, with Formal Guarantees</title><link>https://delgrange.me/publication/delgrange-2025-synthesis/</link><pubDate>Fri, 23 May 2025 00:00:00 +0000</pubDate><guid>https://delgrange.me/publication/delgrange-2025-synthesis/</guid><description>&lt;p>This work received the &lt;strong>Best Poster Award&lt;/strong> at &lt;a href="https://www.benerl.org/workshop/2025-eindhoven#h.1145sba7zrwi" target="_blank" rel="noopener">BeNeRL 2025&lt;/a>.&lt;/p></description></item><item><title>Integrating RL and Planning through Optimal Transport World Models</title><link>https://delgrange.me/publication/ropke-2025-integrating-rl-planning-ot-world-models/</link><pubDate>Tue, 01 Apr 2025 00:00:00 +0000</pubDate><guid>https://delgrange.me/publication/ropke-2025-integrating-rl-planning-ot-world-models/</guid><description/></item><item><title>Activating Formal Verification of Deep Reinforcement Learning Policies by Model Checking Bisimilar Latent Space Models</title><link>https://delgrange.me/publication/thesis/</link><pubDate>Tue, 20 Aug 2024 00:00:00 +0000</pubDate><guid>https://delgrange.me/publication/thesis/</guid><description/></item><item><title>The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models</title><link>https://delgrange.me/publication/https-doi-org-10-48550-arxiv-2303-03284/</link><pubDate>Wed, 29 May 2024 00:00:00 +0000</pubDate><guid>https://delgrange.me/publication/https-doi-org-10-48550-arxiv-2303-03284/</guid><description/></item><item><title>WAE-PCN: Wasserstein-autoencoded Pareto Conditioned Networks</title><link>https://delgrange.me/publication/wae-pcn/</link><pubDate>Mon, 29 May 2023 00:00:00 +0000</pubDate><guid>https://delgrange.me/publication/wae-pcn/</guid><description/></item><item><title>Wasserstein Auto-encoded MDPs @ ICLR 2023</title><link>https://delgrange.me/talk/wasserstein-auto-encoded-mdps-@-iclr-2023/</link><pubDate>Mon, 01 May 2023 10:42:42 +0100</pubDate><guid>https://delgrange.me/talk/wasserstein-auto-encoded-mdps-@-iclr-2023/</guid><description/></item><item><title>Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees</title><link>https://delgrange.me/publication/delgrange-2023-wasserstein/</link><pubDate>Sun, 01 Jan 2023 00:00:00 +0000</pubDate><guid>https://delgrange.me/publication/delgrange-2023-wasserstein/</guid><description/></item><item><title>Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees @ BNAIC/BeNeLearn 2022</title><link>https://delgrange.me/talk/formal-verification-of-efficiently-distilled-rl-policies-with-many-sided-guarantees-@-bnaic/benelearn-2022/</link><pubDate>Mon, 07 Nov 2022 10:42:42 +0100</pubDate><guid>https://delgrange.me/talk/formal-verification-of-efficiently-distilled-rl-policies-with-many-sided-guarantees-@-bnaic/benelearn-2022/</guid><description/></item></channel></rss>