27 citations · 69 across the 11 of their papers we have counts for
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cs.RO2023
Optimizing Algorithms From Pairwise User Preferences
Leonid Keselman, Katherine Shih, Martial Hebert +1
Typical black-box optimization approaches in robotics focus on learning from metric scores. However, that is not always possible, as not all developers have ground truth available.…
cs.RO2016★ 27 cited
Learning Transferable Policies for Monocular Reactive MAV Control
Shreyansh Daftry, J. Andrew Bagnell, Martial Hebert
The ability to transfer knowledge gained in previous tasks into new contexts is one of the most important mechanisms of human learning. Despite this, adapting autonomous behavior t…