Machine learning approaches for detection of robot errors in human brain signals
Latent State-Space Models for Control
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Combining learning and structure for robotic manipulation
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot