<link>/en</link> <description><![CDATA[]]></description> <language>en</language> <atom:link rel="self" href="/en/events.rss?category-containers=5276740"/> <lastBuildDate>Tue, 28 Oct 2025 10:58:45 +0100</lastBuildDate> <item> <title>Human-centered reinforcement learning (RL)

<link>/en</link> <description><![CDATA[]]></description> <language>en</language> <atom:link rel="self" href="/en/events.rss?category-containers=5276740"/> <lastBuildDate>Tue, 28 Oct 2025 10:58:45 +0100</lastBuildDate> <item> <title>Human-centered reinforcement learning (RL) /en/events/human-centered-reinforcement-learning-rl In this talk Shihan Wang will demonstrate how RL techniques can be designed and adapted to meaningfully supporting human decision-making across diverse contexts. 152470 Thu, 06 Nov 2025 11:45:00 +0100 - Thu, 06 Nov 2025 13:00:00 +0100