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X-WR-CALNAME;VALUE=TEXT:Deep Reinforcement Learning for Multi-Agent Interaction
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SUMMARY:Deep Reinforcement Learning for Multi-Agent Interaction
DESCRIPTION:<p>	<strong>Speaker:</strong> Stefano V. Albrecht (University of Edinburgh)</p><p>	<strong>Title:</strong> Deep Reinforcement Learning for Multi-Agent Interaction</p><strong>Abstract: </strong>Our group specialises in developing machine learning algorithms for autonomous systems control, with a particular focus on deep reinforcement learning and multi-agent reinforcement learning. We have a focus on problems of optimal decision making, prediction, and coordination in multi-agent systems. In this talk, I will give an overview of our research agenda along with some recent published papers in these areas, including our ongoing R&amp;D work with Dematic to develop multi-agent RL solutions for large-scale multi-robot warehouse applications. I will also present some of our research done at UK-based self-driving company Five AI (acquired by Bosch in 2022) on robust and interpretable motion planning and prediction for autonomous driving.<p>	 </p><p>	<strong>Bio:</strong> Dr. Stefano V. Albrecht is Associate Professor of Artificial Intelligence in the School of Informatics, University of Edinburgh, where he leads the Autonomous Agents Research Group (<a href="https://agents.inf.ed.ac.uk">https://agents.inf.ed.ac.uk</a>). Dr. Albrecht is a Royal Society Industry Fellow working with Five AI/Bosch to develop AI technologies for autonomous vehicles; and he is a Royal Academy of Engineering Industrial Fellow working with KION/Dematic to develop reinforcement learning solutions for multi-robot warehouse systems. His research on reinforcement learning and multi-agent interaction has been published in leading conferences and journals for AI/ML/robotics, including NeurIPS, ICML, ICLR, IJCAI, AAAI, UAI, AAMAS, AIJ, JAIR, JMLR, TMLR, ICRA, IROS, T-RO. Previously, Dr. Albrecht was a postdoctoral fellow at the University of Texas at Austin. He obtained PhD and MSc degrees in Artificial Intelligence from the University of Edinburgh, and a BSc degree in Computer Science from Technical University of Darmstadt. He is co-author of the book "Multi-Agent Reinforcement Learning: Foundations and Modern Approaches" (MIT Press) which is available at <a href="https://marl-book.com">https://marl-book.com</a>.</p>
LOCATION:SEC 1.413 
STATUS:CONFIRMED
DTSTART:20231208T183000Z
DTEND:20231208T193000Z
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