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Einsatzindividuelles, intelligentes Energiemanagement im hybriden Nutzfahrzeug
A Survey of Offline- and Online-Learning-Based Algorithms for Multirotor Uavs
Learning Driver Behavior Models for Predicting Urban Traffic Situations
Adaptive human-robot policy blending for shared control teleoperation
Deep Reinforcement Learning basierte Leistungsmanagementstrategie in 12 V-Bordnetzen
Recursive logit-based meta-inverse reinforcement learning for driver-preferred route planning
Recent advances and prospects in hypersonic inlet design and intelligent optimization
Learning two-dimensional merging behaviour from vehicle trajectories with imitation learning
Learning Sliding Policy of Flat Multi-target Objects in Clutter Scenes
Traffic Lights Control Using Reinforcement Learning: A Comparative Study
Lithological mapping of Nidar ophiolite complex, Ladakh using high-resolution data
Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning
Kernel adapted extreme learning machine for cross-domain fault diagnosis of aero-engines