Dr. Nicholas Rhinehart

Biography

Nicholas Rhinehart is a leading researcher at the LEAF laboratory affiliated with the Robotics Institute and the Institute of Aerospace Studies at the University of Toronto. His lab is focused on developing broadly useful autonomous systems that can efficiently and safely operate in complex environments while advancing the algorithmic foundations of robot learning. Rhinehart's work centers on creating learning-based systems for forecasting control, equipping autonomous systems with the ability to predict and respond to real-time environmental changes. His research develops principled algorithms that integrate methods from model-based and model-free reinforcement learning, imitation learning, information theory, and deep learning. Current research thrusts include developing transferable models for learning to forecast high-dimensional data, applying deep learning methods to jointly forecast and plan motion in uncertain environments, and enabling autonomous systems to learn from various human data sources—like demonstration data and preference feedback—to effectively perform complex tasks.

Research Interests

Experience