32 citations · 62 across the 22 of their papers we have counts for
4 papers · 1 filter
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…
Interactive Trajectory Adaptation through Force-guided Bayesian Optimization
Leonel Rozo
Flexible manufacturing processes demand robots to easily adapt to changes in the environment and interact with humans. In such dynamic scenarios, robotic tasks may be programmed th…
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies
Domingo Esteban, Leonel Rozo, Darwin G. Caldwell
A common strategy to deal with the expensive reinforcement learning (RL) of complex tasks is to decompose them into a collection of subtasks that are usually simpler to learn as we…
Uncertainty-Aware Imitation Learning using Kernelized Movement Primitives
João Silvério, Yanlong Huang, Fares J. Abu-Dakka +2
During the past few years, probabilistic approaches to imitation learning have earned a relevant place in the literature. One of their most prominent features, in addition to extra…