11 citations · 11 across the 2 of their papers we have counts for
3 papers
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Noémie Jaquier, Leonel Rozo, Sylvain Calinon +1
Bayesian optimization (BO) recently became popular in robotics to optimize control parameters and parametric policies in direct reinforcement learning due to its data efficiency an…
Topological and Graph-coloring Conditions on the Parameter-independent Stability of Second-order Networked Systems
Filip Koerts, Mathias Bürger, Arjan van der Schaft +1
In this paper, we study parameter-independent stability in qualitatively heterogeneous passive networked systems containing damped and undamped nodes. Given the graph topology and…
Stability Analysis of Networked Systems Containing Damped and Undamped Nodes
Filip Koerts, Mathias Bürger, Arjan van der Schaft +1
This paper answers the question if a qualitatively heterogeneous passive networked system containing damped and undamped nodes shows consensus in the output of the nodes in the lon…