George Tucker
I am interested in modeling sequences and sequential decision-making problems.
Before joining Google, I was a research scientist on the Amazon Speech team in Boston. My focus was on designing deep learning models for small-footprint keyword spotting.
Before joining Amazon, I was a Postdoctoral Research Fellow in the Price lab at the Harvard School of Public Health. I worked on methods for risk prediction and association testing in studies with related individuals. I conducted my PhD research in the MIT Mathematics department in Professor Bonnie Berger's research group.
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Google
Model-Based Reinforcement Learning for Atari
Blazej Osinski
Chelsea Finn
Henryk Michalewski
Konrad Czechowski
Lukasz Mieczyslaw Kaiser
Mohammad Babaeizadeh
Piotr Kozakowski
Piotr Milos
Roy H Campbell
Afroz Mohiuddin
Ryan Sepassi
Sergey Levine
NIPS'18 (2020)
The Mirage of Action-Dependent Baselines in Reinforcement Learning
Surya Bhupatiraju
Shane Gu
Richard E. Turner
Zoubin Ghahramani
Sergey Levine
ICML (2018)
