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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
Online Adaptive Fuzzy Neural Identification of a Piezoelectric Tube Actuator System
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
Validity index in dynamic cell structures
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
A methodology for photometric validation in vehicles visual interactive systems
Urban traffic control based on learning agents
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Double-deck elevator systems using genetic network programming with reinforcement learning
Application of time-variant predictive control to modelling driver steering skill
Advanced driver assistance system supporting routing and navigation for fully electric vehicles