Pierre-Luc Bacon (Preferred)
Pierre-Luc Bacon
University of Montreal
Names
How do you usually write your name as author of a paper? Also add any other names you have authored papers under.
Emails
Enter email addresses associated with all of your current and historical institutional affiliations, as well as all your previous publications, and the Toronto Paper Matching System. This information is crucial for deduplicating users, and ensuring you see your reviewing assignments.
****@cs.mcgill.ca
, ****@cs.stanford.edu
, ****@mila.quebec
Personal Links
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Education & Career History
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Assistant Professor
University of Montreal (umontreal.ca)
2020 – Present
Postdoc
Stanford University (stanford.edu)
2018 – 2019
PhD student
McGill University (mcgill.ca)
2013 – 2018
MS student
McGill University (mcgill.ca)
2011 – 2013
Undergrad student
McGill University (mcgill.ca)
2008 – 2011
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
Postdoc Advisor
Emma Brunskill
****@stanford.edu
2018 – Present
Social
Martha White
****@ualberta.ca
2017 – Present
Coworker
Yoshua Bengio
****@mila.quebec
2014 – Present
Coworker
Aaron Courville
****@gmail.com
2014 – Present
Social
Richard Sutton
****@ualberta.ca
2011 – Present
Social
Richard Sutton
****@google.com
2011 – Present
Coworker
Marc Bellemare
****@google.com
2017 – 2018
Coworker
Hugo Larochelle
****@google.com
2017 – 2018
Coworker
Danny Tarlow
****@google.com
2017 – 2018
PhD Advisor
Doina Precup
****@cs.mcgill.ca
2011 – 2018
Social
Joelle Pineau
****@cs.mcgill.ca
2011 – 2018
PhD Advisor
Doina Precup
****@google.com
2011 – 2018
Expertise
For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing
reinforcement learning, temporal abstraction, hierarchical reinforcement learning, continual learning, policy gradient methods, off-policy learning
2011 – Present