About Me

I am a research scientist at Meta, where I work on reinforcement learning and large language models.
I received my PhD in Computing Science from the University of Alberta (
),
advised by Marlos C. Machado and Martha White.
My thesis was titled “Multistep Credit Assignment in Deep Reinforcement Learning”.
During my PhD, I completed internships at Meta and Sony AI.
Previously, I earned my MS in Computer Science and BS in Electrical/Computer Engineering from Northeastern University (
),
and my MMS in Global Affairs from Tsinghua University (
) as a Schwarzman Scholar.
During my undergraduate studies, I completed internships at Tesla and SpaceX,
which ignited my initial career interest in AI.
Research Interests
My research has focused on the temporal credit-assignment problem and efficient reward-based learning. I am particularly interested in addressing high-dimensional environments where classical methods become infeasible. To this end, my algorithms have often utilized deep neural networks to process rich sensory data, which present a variety of challenges to long-term credit assignment.
See my Google Scholar profile for a list of my publications.
© 2018-2026 Brett Daley. All Rights Reserved.