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Papers matching “model-based deep learning” 31

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Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
2020 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

6

citations
High-Accuracy Model-Based Reinforcement Learning, a Survey
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

5

citations
Performance comparison between model-based and machine learning approaches for the automated active alignment of FAC-lenses
2020 conference-paper Engineering Advanced optical system design

Maximilian Hoeren, Daniel Zontar, Armin Tavakolian, Susanne Ehret, Temirlan Mussagaliyev, Christian Brecher

2

citations
Model-Based Reinforcement Learning
2022 Springer eBooks book-chapter Computer Science Reinforcement Learning in Robotics

Aske Plaat

2

citations
Trust the Model Where It Trusts Itself -- Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption
2024 arXiv (Cornell University) preprint Decision Sciences Scientific Computing and Data Management Open access

Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish, Friedrich Solowjow, Sebastian Trimpe

2

citations
What model does MuZero learn?
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Jinke He, Thomas M. Moerland

0

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 IEEE International Conference on Intelligent Transportation Systems (ITSC) conference-paper Computer Science Reinforcement Learning in Robotics

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

3

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Engineering Traffic control and management Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

0

citations
What Model Does MuZero Learn?
2024 Frontiers in artificial intelligence and applications book-chapter Computer Science Reinforcement Learning in Robotics Open access

Jinke He, Thomas M. Moerland, Joery A. de Vries, Frans A. Oliehoek

1

citations
Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects
2023 Radiology article Medicine Medical Imaging Techniques and Applications Open access

Lennart R. Koetzier, Domenico Mastrodicasa, Timothy P. Szczykutowicz, Niels R. van der Werf, Adam Wang, Veit Sandfort, +3 more

429

citations
Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation
2024 Proceedings of the ... American Control Conference/Proceedings of the American Control Conference conference-paper Engineering Advanced Control Systems Optimization Open access

Alexander Winkler, Julian Bedei, Patrick Schaber, Stefan Pischinger, Jakob Andert, Charles Robert Koch

14

citations
Deep Reinforcement Learning
2022 Springer eBooks book Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat

65

citations
MDE for Machine Learning-Enabled Software Systems: A Case Study and Comparison of MontiAnna & ML-Quadrat
2022 CentAUR (University of Reading) book-chapter Computer Science Software System Performance and Reliability Open access

Jörg Christian Kirchhof, Evgeny Kusmenko, Jonas Ritz, Bernhard Rumpe⋆, Armin Moin, Atta Badii, +2 more

3

citations
Artificial Intelligence-Based Evaluation of Functional Cardiac Magnetic Resonance Imaging
2022 Contemporary medical imaging book-chapter Computer Science Medical Image Segmentation Techniques

Qian Tao, Rob J. van der Geest

0

citations
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
2026 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank, Henrik Hose, Sebastian Trimpe

0

citations
Toward Robust Quantitative Photoacoustic Tomography via Learned Iterative Methods
2026 IEEE Transactions on Computational Imaging article Engineering Photoacoustic and Ultrasonic Imaging Open access

Janek Gröhl, Felix F. Lucka, Andreas Hauptmann

2

citations
Uncertainty Quantification For Learned ISTA
2023 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) conference-paper Mathematics Numerical methods in inverse problems

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

4

citations
Uncertainty quantification for learned ISTA
2023 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Frederik Hoppe, Claudio Mayrink Verdun, Felix Krahmer, Hannah Laus, Holger Rauhut

0

citations
Model-driven software development and verification solutions for safety critical battery management systems : a quantitative evaluation of probabilistic inference & artificial intelligence methods
2020 RWTH Publications (RWTH Aachen) book Computer Science Software System Performance and Reliability Open access

Christian Fleischer

0

citations
Few-shot and meta-learning methods for image understanding: a survey
2023 International Journal of Multimedia Information Retrieval article Computer Science Domain Adaptation and Few-Shot Learning Open access

Kai He, Nan Pu, Mingrui Lao, Michael S. Lew

45

citations
Metalearning for Deep Neural Networks
2022 Cognitive technologies book-chapter Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Jan N. van Rijn, Aske Plaat

4

citations
Uncertainty quantification in machine learning: confidence intervals for high-dimensional regression
2025 RWTH Publications (RWTH Aachen) dissertation Engineering Sparse and Compressive Sensing Techniques Open access

Frederik Hoppe

0

citations
Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP
2023 IEEE Symposium Series on Computational Intelligence (SSCI) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Moritz Vinzent Seiler, Jeroen Rook, Jonathan Heins, Oliver Ludger Preuß, Jakob Bossek, Heike Trautmann

7

citations
Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine
2025 Energies article Engineering Advanced Control Systems Optimization Open access

Alexander Winkler, Pranav Shah, Katrin Baumgärtner, David C. Gordon, Jakob Andert

3

citations
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
2024 arXiv (Cornell University) preprint Engineering Fault Detection and Control Systems Open access

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

0

citations