Nicholas Rhinehart
Scholar

Nicholas Rhinehart

Google Scholar ID: xUGZX_MAAAAJ
Assistant Professor, University of Toronto
Machine LearningComputer VisionRoboticsReinforcement LearningArtificial Intelligence
Citations & Impact
All-time
Citations
2,803
 
H-index
21
 
i10-index
27
 
Publications
20
 
Co-authors
75
list available
Resume (English only)
Academic Achievements
  • Published multiple papers on topics such as social robot navigation, preference-based reinforcement learning, LiDAR world models, and more.
Research Experience
  • Assistant Professor, University of Toronto, 2024 - Present
  • Senior Research Scientist, Waymo Research, 2022 - 2024
  • Postdoctoral Scholar, UC Berkeley RAIL Lab, 2019 - 2022
  • Research Intern, UC Berkeley RAIL Lab, 2018
  • Research Intern, NEC Labs Media Analytics, 2017
  • Research Intern, Uber Advanced Technologies Group, 2016
  • Ph.D. Student Researcher, Carnegie Mellon University, 2014 – 2019
Education
  • Ph.D. in Robotics, Carnegie Mellon University, 2014-2019; Advisor: Kris Kitani
  • M.S. in Robotics, Carnegie Mellon University, 2013-2014
  • B.S. in Engineering, Swarthmore College, 2008-2012
  • B.A. in Computer Science, Swarthmore College, 2008-2012
Background
  • Research Interests: Robot learning, development of broadly useful autonomous systems. Specializes in model-based and model-free reinforcement learning, imitation learning, information theory, and deep learning.