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Efficient and Stable Online Learning for Developmental Robots
Towards Autonomous Lunar Resource Excavation via Deep Reinforcement Learning
On Generalizably Improving RANS Predictions of Flow Separation and Reattachment
Distributed resource allocation in wireless networks.
ein spieltheoretisch lernendes Systemkonzept
A Recursive Multi-step Machine Learning Approach for Airport Configuration Prediction
Schwingkomfortbewertung in Straßenbahnen mittels Maschinellen Lernens; 1. Auflage
Predicting Arrival and Departure Runway Assignments with Machine Learning
Creating a Culture of Continuous Learning: Solutions for Patient Safety
Recent efforts in Machine Learning for RANS modelling of separated flows
Comparing Deep Neural Network Architectures using Transfer-Learning to Predict Cognitive States
Real World Applications of AI/ML in Optimizing Airspace Operations