I am a PhD student and researcher at Mila - Quebec AI Institute, where I am advised by Marc G. Bellemare and Doina Precup. My core research interests lie at the intersection of the empirical science of deep learning and sequential decision-making. In particular, I want to understand the mechanisms behind emergent decision-making abilities and goal-directed behaviors in large pretrained models.
My work is supported by a generous scholarship from the Fonds de recherche du Québec.
Before graduate school, I worked as a software engineer at Google in San Francisco. Prior to that, I spent four ideal years at Brown University, where I studied math and computer science, among other things. There, I was fortunate to get my start in research by working with David Abel and Michael Littman.
Policy Optimization in a Noisy Neighborhood: On Return Landscapes in Continuous Control
Nate Rahn*, Pierluca D'Oro*, Harley Wiltzer, Pierre-Luc Bacon, Marc G. Bellemare
NeurIPS 2023
arXiv
Value Preserving State-Action Abstractions
David Abel, Nate U. Rahn, Khimya Khetarpal, Dilip Arumugam, Doina Precup, Michael Littman
AISTATS 2020
paper
Outside of research, I enjoy reading on a variety of topics, long human-powered journeys and other physical practices, and writing songs for guitar and voice.