Craig Boutilier
Craig Boutilier studies how AI can make decisions under uncertainty, connecting preferences, probability, economics and the behavior of multiple agents. Boutilier earned a Toronto doctorate in 1992 and worked on the faculty at British Columbia from 1991 to 1999. He returned to Toronto in 1999. His early research included knowledge representation, belief revision and default reasoning. He received the ACM/SIGAI Autonomous Agents Research Award in 2018. His papers with collaborators received recognition, including a 2018 NeurIPS Best Paper Award and a 2023 IFAAMAS influential-paper award. His stated research includes preferences, game theory and reinforcement learning.
Timeline
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1991–1999
Research in Canada
Boutilier earned a Toronto doctorate in 1992 and worked on the faculty at British Columbia from 1991 to 1999. He returned to Toronto in 1999. His early research included knowledge representation, belief revision and default reasoning.
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2004–2015
Leading research and building a company
He chaired Toronto’s computer-science department from 2004 to 2010. With Tyler Lu, he co-founded Granata Decision Systems, which operated from 2012 to 2015. These activities accompanied his research on decision-making.
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2015–2017
A move to Google
He became a principal scientist at Google in January 2015, while his Toronto professorship continued through January 2017.
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2018–2023
Shared research and recognition
He received the ACM/SIGAI Autonomous Agents Research Award in 2018. His collaborators’ papers received recognition including a 2018 NeurIPS Best Paper Award and a 2023 IFAAMAS influential-paper award. His research includes preferences, game theory and reinforcement learning.
Sources and credits
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