Asking Easy Questions: A User-Friendly Approach to Active Reward Learning

10 Oct 2019Erdem BıyıkMalayandi PalanNicholas C. LandolfiDylan P. LoseyDorsa Sadigh

Robots can learn the right reward function by querying a human expert. Existing approaches attempt to choose questions where the robot is most uncertain about the human's response; however, they do not consider how easy it will be for the human to answer!.. (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.