Matthew 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.

CMPUT 399 - Topics in Computing Science

This topics course is designed for a one on one individual study course between a student and an instructor. Prerequisites are determined by the instructor in the course outline. See Note (3) above.

CMPUT 412 - Experimental Mobile Robotics

A project-based course dealing with the design and implementation of mobile robots to accomplish specific tasks. Students work in groups and are introduced to concepts in sensor technologies, sensor data processing, motion control based on feedback and real-time programming. Prerequisites: CMPUT 201 and 204, or 275; one of CMPUT 340, 418 or equivalent knowledge; MATH 214.

CMPUT 503 - Topics in Computing Science

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