35 citations · 140 across the 26 of their papers we have counts for
3 papers · 1 filter
Feature Expansive Reward Learning: Rethinking Human Input
Andreea Bobu, Marius Wiggert, Claire Tomlin +1
When a person is not satisfied with how a robot performs a task, they can intervene to correct it. Reward learning methods enable the robot to adapt its reward function online base…
Quantifying Hypothesis Space Misspecification in Learning from Human-Robot Demonstrations and Physical Corrections
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac +2
Human input has enabled autonomous systems to improve their capabilities and achieve complex behaviors that are otherwise challenging to generate automatically. Recent work focuses…
LESS is More: Rethinking Probabilistic Models of Human Behavior
Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac +2
Robots need models of human behavior for both inferring human goals and preferences, and predicting what people will do. A common model is the Boltzmann noisily-rational decision m…