معرفی
Marlos C. Machado is an Assistant Professor at the University of Alberta's Faculty of Science, Department of Computing Science, affiliated with the Alberta Machine Intelligence Institute (Amii) as a Canada CIFAR AI Chair and RLAI principal investigator. His research focuses on reinforcement learning, representation learning, and continual learning, with applications in real-world systems.
Education includes B.Sc. and M.Sc. from UFMG Brazil, and Ph.D. from University of Alberta. Research pioneered temporally-extended exploration concepts and contributed to deep reinforcement learning for stratospheric balloon control.
Awards include:
- Canada CIFAR AI Chair (2021)
- Amii Fellow (2021)
- AISTATS Best Paper Honorable Mention (2022)
- NSERC Discovery Grant for state/temporal abstraction research
Advises 15+ graduate students and secured $882,858 in research funding. Leads the Reinforcement Learning and Artificial Intelligence group developing novel algorithms for credit assignment and exploration.
