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Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
Combining learning and structure for robotic manipulation
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Condition Monitoring von Stromrichtern mit Methoden des maschinellen Lernens
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Learning motion skills for a humanoid robot
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Pedestrian simulation as multi-objective reinforcement learning