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

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: