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Deep Reinforcement Learning for Robot Batching Optimization and Flow Control
DOP: Deep Optimistic Planning with Approximate Value Function Evaluation
Phi-Net: Deep Residual Learning for InSAR Parameters Estimation
Interactive Learning with Corrective Feedback for Policies Based on Deep Neural Networks
Deep Reinforcement Learning als Basis für das Hybridfahrzeug-Energiemanagement
Multi-expert synthesis for versatile locomotion and manipulation skills
Vergleich unterschiedlicher Trainingskonzepte zur integrierten Software
An Authoring Tool for Generating Context Awareness Mobile Game Based Learning
Absicherung hochautomatisierten Fahrens durch passiven virtuellen Dauerlauftest
You Were Always on My Mind:Introducing Chef’s Hat and COPPER for Personalized Reinforcement Learning
Knowledge Augmented Machine Learning with Applications in Autonomous Driving: A Survey
Towards mastery of complex visuo-motor transformations
Towards lifelong assistive robotics: a tight coupling between object perception and manipulation
A methodology for photometric validation in vehicles visual interactive systems
The Brazilian experience of flex-fuel vehicles technology: towards low carbon mobility
Towards mastery of complex visuo-motor transformations
2019 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW)
Towards robust reinforcement learning