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Machine learning approaches for detection of robot errors in human brain signals
Simultaneous estimation of rewards and dynamics in inverse reinforcement learning problems
Latent State-Space Models for Control
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
Urban traffic control based on learning agents
Learning motion skills for a humanoid robot
Validity index in dynamic cell structures
Advanced driver assistance system supporting routing and navigation for fully electric vehicles
A Method of Reinforcement Learning Based Automatic Traffic Signal Control
A methodology for photometric validation in vehicles visual interactive systems
Automotive fault diagnosis - part II: a distributed agent diagnostic system
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Double-deck elevator systems using genetic network programming with reinforcement learning