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Implicit cooperative decision-making for automated vehicles
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers
Machine Learning for Radio Resource Management in Multibeam GEO Satellite Systems
Posenbasierte Intentionserkennung von ungeschützten Verkehrsteilnehmern aus einem Fahrzeug
Digitale Zwillinge für das PKW-Vorbeifahrtgeräusch - Komponenten und deren Zusammenwirken
Deep Reinforcement Learning for Robot Batching Optimization and Flow Control
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
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
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Towards mastery of complex visuo-motor transformations
Towards mastery of complex visuo-motor transformations
Absicherung hochautomatisierten Fahrens durch passiven virtuellen Dauerlauftest
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry