Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking

Nowadays, Deep Learning (DL) methods often overcome the limitations of traditional signal processing approaches. Nevertheless, DL methods are barely applied in real-life applications. This is mainly due to limited robustness and distributional shift between training and test data. To this end, recen...

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Hauptverfasser: Ott, Julius, Servadei, Lorenzo, Mauro, Gianfranco, Stadelmayer, Thomas, Santra, Avik, Wille, Robert
Format: Artikel
Sprache:eng
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