
Cornell CS4756 is an undergrad/graduate-level course on robot learning algorithms and techniques. The course covers a wide range of topics in deep learning, imitation learning, reinforcement learning, representation learning and robotics.
Jan 20, 2025

Cornell CS6758 is a graduate-level course on deep learning for robotics. The course covers a wide range of topics in deep learning, reinforcement learning, and robotics, with a focus on the intersection of these fields.
Aug 24, 2024

We propose a method for dynamically adjusting a robot’s exploration while learning in the real world. We demonstrate that growing the limits of the robot’s search space leads to safer, more efficient learning and enables continuous improvement.
May 13, 2024