21 citations · 21 across the 1 of their papers we have counts for
3 papers
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…
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
Dexter R. R. Scobee, S. Shankar Sastry
While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on estimating a reward function that best explains an expert agent's policy or demonstrated behav…
Modeling Supervisor Safe Sets for Improving Collaboration in Human-Robot Teams
David L. McPherson, Dexter R. R. Scobee, Joseph Menke +2
When a human supervisor collaborates with a team of robots, their attention is divided and cognitive resources are at a premium. We aim to optimize the distribution of these resour…