Model-Based Quality-Diversity Search for Efficient Robot Learning
Leon Keller,Daniel Tanneberg,Svenja Stark,Jan Peters,Leon Keller,Daniel Tanneberg,Svenja Stark,Jan Peters
Despite recent progress in robot learning, it still remains a challenge to program a robot to deal with open-ended object manipulation tasks. One approach that was recently used to autonomously generate a repertoire of diverse skills is a novelty based Quality-Diversity (QD) algorithm. However, as most evolutionary algorithms, QD suffers from sample- inefficiency and, thus, it is challenging to ap...
