LSTM-oriented Handover Decision-making with SVR-based Mobility Prediction in 5G Vehicular Networks
Deep Reinforcement Learning basierte Leistungsmanagementstrategie in 12 V-Bordnetzen
Robot Skill Acquisition through Prior-Conditioned Reinforcement Learning
Providing and assessing intelligible explanations in autonomous driving
Learning-based methods for planning and control of humanoid robots
Integrating Planning and Learning for Agents Acting in Unknown Environments
Robot Planning and Control combined with Machine Learning Techniques
Model learning for trajectory tracking of robot manipulators
Deep learning on point clouds with applications in vehicle self-localization
Surgical Subtask Automation for Intraluminal Procedures using Deep Reinforcement Learning
Environment modeling for automated driving using grid-based and object-based representations