Timothy Lillicrap received an Hon. B.Sc. in Cognitive Science & Artificial Intelligence from the University of Toronto and a Ph.D. in Systems Neuroscience from Queen’s University in Canada. He moved to the University of Oxford in 2012 where he worked as a Postdoctoral Research Fellow. In 2014 he joined Google DeepMind as a Research Scientist. His research focuses on machine learning for optimal control and decision making, as well as using these mathematical frameworks to understand how the brain learns.
AI Conference Talk
Optimizing Behaviour Over Long Time Scales by Revaluing Memories