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A reinforcement learning model for personalized driving policies identification
Conditional Neural Movement Primitives
Efficient learning of robust quadruped bounding using pretrained neural networks
International Maritime Management: Serving the seafarers of tomorrow and their educational needs
Learning tactile skills through curious exploration
Diagnostic Evaluation of Policy-Gradient-Based Ranking
Indirect Methods for Robot Skill Learning
Quantifying Teaching Behavior in Robot Learning from Demonstration
Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey
Kurzbericht zum Projekt "KI-basierte Fahrwerksregelung KIFAHR"
Hierarchical Optimization Control and Robust Imitation Learning for Manipulation
Benchmarking von Verhaltens-Algorithmen für die Applikation in Motorsport-Szenarien
Learning motion skills for a humanoid robot
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Learning Complex Motor Skills for Legged Robot Fall Recovery
Deep Reinforcement Learning for Mobile Robot Navigation
Uncertainty Calibration and its Application to Object Detection
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
Behavior-specific proprioception models for robotic force estimation : a machine learning approach
Behavior-specific proprioception models for robotic force estimation: a machine learning approach
Robot motion adaptation through user intervention and reinforcement learning
Zustandsüberwachung mit Regelfahrzeugen
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
An Authoring Tool for Generating Context Awareness Mobile Game Based Learning
You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning
Learning Driver Behavior Models for Predicting Urban Traffic Situations
Multi-expert synthesis for versatile locomotion and manipulation skills
Deep Reinforcement Learning for Robot Batching Optimization and Flow Control
Absicherung hochautomatisierten Fahrens durch passiven virtuellen Dauerlauftest
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
Towards robust reinforcement learning
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Implicit cooperative decision-making for automated vehicles
RTFM: Generalising to New Environment Dynamics via Reading
Posenbasierte Intentionserkennung von ungeschützten Verkehrsteilnehmern aus einem Fahrzeug
Digitale Zwillinge für das PKW-Vorbeifahrtgeräusch - Komponenten und deren Zusammenwirken
Towards mastery of complex visuo-motor transformations