13 citations · 58 across the 14 of their papers we have counts for
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cs.LG2021★ 13 cited
Dynamics-Aware Quality-Diversity for Efficient Learning of Skill Repertoires
Bryan Lim, Luca Grillotti, Lorenzo Bernasconi +1
Quality-Diversity (QD) algorithms are powerful exploration algorithms that allow robots to discover large repertoires of diverse and high-performing skills. However, QD algorithms…
cs.NE2021★ 8 cited
Unsupervised Behaviour Discovery with Quality-Diversity Optimisation
Luca Grillotti, Antoine Cully
Quality-Diversity algorithms refer to a class of evolutionary algorithms designed to find a collection of diverse and high-performing solutions to a given problem. In robotics, suc…