24 citations · 48 across the 10 of their papers we have counts for
3 papers · 1 filter
On the Utility of Model Learning in HRI
Gokul Swamy, Jens Schulz, Rohan Choudhury +2
Fundamental to robotics is the debate between model-based and model-free learning: should the robot build an explicit model of the world, or learn a policy directly? In the context…
Simplifying Reward Design through Divide-and-Conquer
Ellis Ratner, Dylan Hadfield-Menell, Anca D. Dragan
Designing a good reward function is essential to robot planning and reinforcement learning, but it can also be challenging and frustrating. The reward needs to work across multiple…
Expressive Robot Motion Timing
Allan Zhou, Dylan Hadfield-Menell, Anusha Nagabandi +1
Our goal is to enable robots to \emph{time} their motion in a way that is purposefully expressive of their internal states, making them more transparent to people. We start by inve…