Matt Taylor, PhD, AB

Area of Study / Keywords

Reinforcement Learning Machine Learning Multi-agent Systems Robotics Human-AI Interaction

About

Matt has worked on reinforcement learning and multiagent systems since 2003. After his PhD in 2008, he worked as a postdoc, a professor at a small college, a professor at a university, and then was in industry for a few years. He is currently an associate professor, directs the Intelligent Robot Learning Lab (irll.ca) at the University of Alberta, and holds a Canada CIFAR AI Chair, Amii. He is also a Fellow-in-Residence in Amii, the Alberta Machine Intelligence Institute. His current fundamental research interests are in reinforcement learning, human-in-the-loop AI, multi-agent systems, and robotics. His applied research interests revolve around moving cutting edge machine learning and AI out of academic labs and into companies who can immediately benefit from such techniques.