Marlos C. Machado (Preferred)
Marlos C. Machado
University of Alberta
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.
****@ualberta.ca
, ****@google.com
, ****@gmail.com
Personal Links
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Education & Career History
Enter your education and career history. The institution domain is used for conflict of interest detection and institution ranking. For ongoing positions, leave the end field blank.
Adjunct Professor
University of Alberta (ualberta.ca)
2021 – Present
Research Scientist
DeepMind (deepmind.com)
2021 – 2023
Research Scientist
Google Brain (google.com)
2019 – 2021
PhD student
University of Alberta (ualberta.ca)
2013 – 2019
MS student
Universidade Federal de Minas Gerais (ufmg.br)
2011 – 2013
Undergrad student
Universidade Federal de Minas Gerais (ufmg.br)
2006 – 2010
Advisors, Relations & Conflicts
Enter all advisors, co-workers, and other people that should be included when detecting conflicts of interest.
MSc Advisee
Subhojeet Pramanik
****@ualberta.ca
2022 – Present
MSc Advisee
Edan Meyer
****@ualberta.ca
2022 – Present
Coworker
Doina Precup
****@cs.mcgill.ca
2021 – Present
MSc Advisee
Erfan Miahi
****@ualberta.ca
2021 – Present
MSc Advisee
Ruo Yu (David) Tao
****@ualberta.ca
2021 – Present
Coauthor
Adrien Ali Ta¨ıga
****@umontreal.ca
2020 – Present
Coworker
Pablo Samuel Castro
****@google.com
2019 – Present
Coauthor
Nicolas Le Roux
****@google.com
2019 – Present
Coworker
Rishabh Agarwal
****@google.com
2019 – Present
Former Intern
Taylor W. Killian
****@cs.toronto.edu
2020 – 2020
PhD Advisor
Marc G. Bellemare
****@google.com
2015 – 2019
PhD Advisor
Michael Bowling
****@ualberta.ca
2013 – 2019
Coauthor
Erin Talvitie
****@cs.hmc.edu
2015 – 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, exploration, options, model-based, never ending reinforcement learning, continual learning, computer games
Present