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2023 AI Seminar Series: Stefano Albrecht - Deep Reinforcement Learning for Multi-Agent Interaction 

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The AI Seminar is a weekly meeting at the University of Alberta where researchers interested in artificial intelligence (AI) can share their research. Presenters include both local speakers from the University of Alberta and visitors from other institutions. Topics can be related in any way to artificial intelligence, from foundational theoretical work to innovative applications of AI techniques to new fields and problems.
Abstract:
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. Questions we tackle include: How can a single agent learn to collaborate effectively in a team in which other agents may have diverse types and may enter/leave at any time? How can multiple autonomous agents learn to solve a given task in a scalable and robust way? In this talk, I will give an overview of our research agenda along with some recent published papers addressing above questions. I will also present some of my work done at UK-based self-driving company Five AI (recently acquired by Bosch) on robust and interpretable motion planning and prediction for autonomous driving.
Presenter Bio:
Dr. Stefano V. Albrecht is Assistant Professor in Artificial Intelligence in the School of Informatics, University of Edinburgh. He leads the Autonomous Agents Research Group (agents.inf.ed.ac.uk) which currently consists of 15 members that conduct research into developing machine learning algorithms for autonomous systems control. Dr. Albrecht is a Royal Society Industry Fellow working with a team at UK-based company Five AI (www.five.ai) to develop AI technologies for autonomous driving. He is also a Royal Academy of Engineering Industrial Fellow working with multinational company Dematic/KION to bring RL to multi-robot warehouse management. His research has been published in leading AI/ML/robotics conferences and journals, including NeurIPS, ICML, IJCAI, AAAI, UAI, AAMAS, AIJ, JAIR, ICRA, IROS, T-RO. Previously, Dr. Albrecht was a postdoctoral fellow at the University of Texas at Austin working with Prof. Peter Stone. 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.

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26 июн 2024

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