1 citations · 1 across the 3 of their papers we have counts for
1 paper · 2 filters
Xuzhe Dang, Stefan Edelkamp
This paper presents a novel method for learning reward functions for robotic motions by harnessing the power of a CLIP-based model. Traditional reward function design often hinges…