ELLIS Distinguished Lecture
Matthew E. Taylor: Human and agent cooperative learning
Time: June 5, 2023, 4pm–5pm
Venue: Otakaari 1, lecture hall R001/Y405, Aalto University / Zoom
Abstract:
Reinforcement learning has had incredible successes in both controlled and applied settings. Rather than focusing on single agents, this talk will focus on the multi-agent case, where agents can teach each other, agents can learn from humans, and humans can learn from agents. This talk will summarize recent work in this area and highlight multiple open questions.
Bio:
Matthew E. Taylor has worked at multiple academic institutions since his PhD in 2008. He moved to Edmonton in 2017 to lead the Borealis AI lab, the artificial intelligence arm of the Royal Bank of Canada. In 2020 he returned to academia, becoming an Associate Professor of Computing Science at the University of Alberta. He is now also a Fellow-in-Residence at Amii, where he helps bring AI into companies around the world, and also serves as the research director at AI-Redefined, a startup working on human-AI teams in multiagent settings.
Watch the video recording of the first part of the lecture >>
(Due to technical difficulties, the last part of the lecture was unfortunately lost in the recording)