Marlos Cholodovskis Machado, Ph.D.
Pronouns: He, Him, His
Contact
Assistant Professor, Faculty of Science - Computing Science
- machado@ualberta.ca
Overview
Area of Study / Keywords
Artificial Intelligence Machine Learning Reinforcement Learning
About
Education
- B.Sc., Computer Science, Universidade Federal de Minas Gerais (UFMG), 2010
- M.Sc., Computer Science, Universidade Federal de Minas Gerais (UFMG), 2013
- Ph.D., Computing Science, University of Alberta, 2019
Research
Summary
Marlos C. Machado is an assistant professor at the University of Alberta. He is also an Amii fellow, where he also holds a Canada CIFAR AI Chair. Marlos’s research mostly focuses on the problem of reinforcement learning. He received his B.Sc. and M.Sc. from UFMG, in Brazil, and his Ph.D. from the University of Alberta, where he popularized the idea of temporally-extended exploration through options. He was a researcher at DeepMind from 2021 to 2023 and at Google Brain from 2019 to 2021, during which time he made major contributions to reinforcement learning, in particular the application of deep reinforcement learning to control Loon’s stratospheric balloons. Marlos’s work has been published in the leading conferences and journals in AI, including Nature, JMLR, JAIR, NeurIPS, ICML, ICLR, and AAAI. His research has also been featured in popular media such as BBC, Bloomberg TV, The Verge, and Wired.