42 citations · 146 across the 13 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.LG2021★ 2 cited
Offline Preference-Based Apprenticeship Learning
Daniel Shin, Daniel S. Brown, Anca D. Dragan
Learning a reward function from human preferences is challenging as it typically requires having a high-fidelity simulator or using expensive and potentially unsafe actual physical…
cs.AI2021
Dynamically Switching Human Prediction Models for Efficient Planning
Arjun Sripathy, Andreea Bobu, Daniel S. Brown +1
As environments involving both robots and humans become increasingly common, so does the need to account for people during planning. To plan effectively, robots must be able to res…