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Expert profile — Profil d'expert

Portrait de mcrowley
Mark Crowley
Champ d'expertise principal
Artificial Intelligence
Champ d'expertise secondaire
Machine Learning
Autres champs d'expertise
Reinforcement Learning, Graphical Models, Policy Gradients, Computational Sustainability, Anomaly Detection, Deep Learning
Note biographique
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

 

33e Conférence canadienne sur l'intelligence artificielle

12-15 mai 2020, Ottawa, Ontario

 


 

CAIAC Messager

Édition de novembre 2019 maintenant en ligne!

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