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Dynamically consistent probabilistic model for robot motion learning
Planning surface cleaning tasks by learning uncertain drag actions outcomes
Handling high parameter dimensionality in reinforcement learning with dynamic motor primitives
Finding safe policies in model-based active learning
V-MIN: efficient reinforcement learning through demonstrations and relaxed reward demands
Safe robot execution in model-based reinforcement learning
Planning robot manipulation to clean planar surfaces
Teaching grasping points using natural movements
Incremental learning of skills in a task-parameterized Gaussian Mixture Model
User evaluation of an interactive learning framework for single-arm and dual-arm robots
Relational reinforcement learning with guided demonstrations
Relational reinforcement learning for planning with exogenous effects
Reward-weighted GMM and its application to action-selection in robotized shoe dressing
Robot motion adaptation through user intervention and reinforcement learning
Active garment recognition and target grasping point detection using deep learning
"Elbows out": predictive tracking of partially occluded pose for robot-assisted dressing