Amy Zhang
Scholar

Amy Zhang

Google Scholar ID: mXtH1UYAAAAJ
Assistant Professor of Electrical and Computer Engineering at University of Texas at Austin
Reinforcement LearningMachine LearningRobot Learning
Citations & Impact
All-time
Citations
6,337
 
H-index
29
 
i10-index
56
 
Publications
20
 
Co-authors
187
list available
Resume (English only)
Research Experience
  • Leads the Machine Intelligence through Decision-making and Interaction (MIDI) Lab, focusing on theory and algorithms for sequential decision-making problems, with an emphasis on reinforcement learning, self-supervised learning, and representation learning, aiming to improve robustness, generalization, and sample efficiency.
Education
  • PhD from McGill University and Mila - Quebec AI Institute, co-supervised by Joelle Pineau and Doina Precup; M.Eng. in EECS and dual B.Sci. degrees in Mathematics and EECS from MIT.
Background
  • Assistant professor at UT Austin. Works on state abstractions and generalization in reinforcement learning.