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Expert profile — Profil d'expert

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Mark Crowley
Primary area of expertise
Artificial Intelligence
Secondary area of expertise
Machine Learning
Other areas of expertise
Reinforcement Learning, Graphical Models, Policy Gradients, Computational Sustainability, Anomaly Detection, Deep Learning
Short biographical note
Mark Crowley is an Assistant Professor in the Pattern Recognition and Machine Intelligence group in the Department of Electrical and Computer Engineering at the University of Waterloo. He is a core member of the Waterloo Institute for Complexity and Innovation. He received his Ph.D. and M.Sc. in Computer Science from the University of British Columbia working in the Laboratory for Computational Intelligence with David Poole. Before coming to Waterloo he did a postdoc at Oregon State University working with Tom Dietterich’s machine learning group on robust decision making under uncertainty in simulated Forest Fire domains.

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2013 AI Doctoral and MSC thesis awards

 

33rd Canadian Conference on Artificial Intelligence

13-15 May 2020, Ottawa, Ontario

 

 

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