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A Multi-Agent Simulation of Serious Games to Predict Their Impact on E-Learning Processes
Identification of the Students Learning Process During Education Robotics Activities
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens
Simulation-driven machine learning for robotics and automation
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
Qualitätsparameter mobil erfasster Feinstaubsensordaten
Reinforcement learning to adjust parametrized motor primitives to new situations
Electrophysiological correlates of reinforcement learning and credit assignment
DROPO: Sim-to-real transfer with offline domain randomization
A framework for current signal based bearing fault detection of permanent magnet synchronous motors