<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>News on Till Hofmann</title><link>https://tillhofmann.name/news/</link><description>Recent content in News on Till Hofmann</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 06 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tillhofmann.name/news/index.xml" rel="self" type="application/rss+xml"/><item><title>WorkBenchMark presented at RoboCup 2026</title><link>https://tillhofmann.name/news/2026-07-06-workbenchmark-robocup/</link><pubDate>Mon, 06 Jul 2026 00:00:00 +0000</pubDate><guid>https://tillhofmann.name/news/2026-07-06-workbenchmark-robocup/</guid><description>&lt;p&gt;&amp;ldquo;WorkBenchMark: A LEGO-based Assembly Benchmark with an Assembly-by-Disassembly Baseline for the Smart Manufacturing League&amp;rdquo; (with Wenbo Ma, Daniel Swoboda, and Matteo Tschesche) was presented at the RoboCup 2026 Symposium in Incheon, South Korea (&lt;a href="https://workbenchmark.github.io/"&gt;project page&lt;/a&gt;).&lt;/p&gt;</description></item><item><title>Two papers presented at the ICAPS GenPlan workshop</title><link>https://tillhofmann.name/news/2026-06-28-genplan-workshop-papers/</link><pubDate>Sun, 28 Jun 2026 00:00:00 +0000</pubDate><guid>https://tillhofmann.name/news/2026-06-28-genplan-workshop-papers/</guid><description>&lt;p&gt;&amp;ldquo;Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning&amp;rdquo; (with Dillon Z. Chen, Toryn Q. Klassen, and Sheila A. McIlraith) and &amp;ldquo;Learning General Policies for Partially Observable Deterministic Planning&amp;rdquo; (with Samridhi Kalra and Hector Geffner) were both presented at the &lt;a href="https://aair-lab.github.io/genplan26/"&gt;ICAPS Workshop on Generalized Planning (GenPlan)&lt;/a&gt; in Dublin.&lt;/p&gt;</description></item><item><title>Generalised planning paper presented at AAAI 2026</title><link>https://tillhofmann.name/news/2026-01-23-aaai26-goal-regression/</link><pubDate>Fri, 23 Jan 2026 00:00:00 +0000</pubDate><guid>https://tillhofmann.name/news/2026-01-23-aaai26-goal-regression/</guid><description>&lt;p&gt;Our paper &amp;ldquo;Satisficing and Optimal Generalised Planning via Goal Regression&amp;rdquo; (with Dillon Z. Chen, Toryn Q. Klassen, and Sheila A. McIlraith) was presented at AAAI 2026 in Singapore (&lt;a href="https://doi.org/10.1609/aaai.v40i43.40938"&gt;proceedings&lt;/a&gt;, &lt;a href="https://doi.org/10.48448/jkff-h686"&gt;presentation&lt;/a&gt;).&lt;/p&gt;</description></item></channel></rss>