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Gabriel Kalweit
Tytuł
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Uncertainty-driven imagination for continuous deep reinforcement learning
G Kalweit, J Boedecker
Conference on robot learning, 195-206, 2017
1512017
Dynamic input for deep reinforcement learning in autonomous driving
M Huegle, G Kalweit, B Mirchevska, M Werling, J Boedecker
2019 IEEE/RSJ international conference on intelligent robots and systems …, 2019
752019
Latent plans for task-agnostic offline reinforcement learning
E Rosete-Beas, O Mees, G Kalweit, J Boedecker, W Burgard
Conference on Robot Learning, 1838-1849, 2023
492023
Dynamic interaction-aware scene understanding for reinforcement learning in autonomous driving
M Hügle, G Kalweit, M Werling, J Boedecker
2020 IEEE international conference on robotics and automation (ICRA), 4329-4335, 2020
402020
Deep inverse Q-learning with constraints
G Kalweit, M Huegle, M Werling, J Boedecker
Advances in neural information processing systems 33, 14291-14302, 2020
322020
Affordance learning from play for sample-efficient policy learning
J Borja-Diaz, O Mees, G Kalweit, L Hermann, J Boedecker, W Burgard
2022 International Conference on Robotics and Automation (ICRA), 6372-6378, 2022
312022
Q-learning with long-term action-space shaping to model complex behavior for autonomous lane changes
G Kalweit, M Huegle, M Werling, J Boedecker
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
30*2021
Adversarial skill networks: Unsupervised robot skill learning from video
O Mees, M Merklinger, G Kalweit, W Burgard
2020 IEEE International Conference on Robotics and Automation (ICRA), 4188-4194, 2020
302020
Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network
M Kalweit, UA Walker, A Finckh, R Müller, G Kalweit, A Scherer, ...
PLoS One 16 (6), e0252289, 2021
272021
A dynamic deep neural network for multimodal clinical data analysis
M Hügle, G Kalweit, T Hügle, J Boedecker
Explainable AI in Healthcare and Medicine: Building a Culture of …, 2021
192021
Dorsal finger fold recognition by convolutional neural networks for the detection and monitoring of joint swelling in patients with rheumatoid arthritis
T Hügle, L Caratsch, M Caorsi, J Maglione, D Dan, A Dumusc, ...
Digital Biomarkers 6 (2), 31-35, 2022
162022
Amortized Q-learning with model-based action proposals for autonomous driving on highways
B Mirchevska, M Hügle, G Kalweit, M Werling, J Boedecker
2021 IEEE international conference on robotics and automation (ICRA), 1028-1035, 2021
132021
Robust and Data-efficient Q-learning by Composite Value-estimation
G Kalweit, M Kalweit, J Boedecker
Transactions on Machine Learning Research, 2022
12*2022
Deep surrogate Q-learning for autonomous driving
M Kalweit, G Kalweit, M Werling, J Boedecker
2022 International Conference on Robotics and Automation (ICRA), 1578-1584, 2022
62022
NeuRL: Closed-form Inverse Reinforcement Learning for Neural Decoding
G Kalweit, M Kalweit, M Alyahyay, Z Jaeckel, F Steenbergen, S Hardung, ...
arXiv preprint arXiv:2204.04733, 2022
52022
Mechanisms of premotor-motor cortex interactions during goal directed behavior
M Alyahyay, G Kalweit, M Kalweit, G Karvat, J Ammer, A Schneider, ...
bioRxiv, 2023.01. 20.524944, 2023
32023
AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values.
M Kalweit, G Kalweit, J Boedecker
AI4Function@ IJCAI, 12-21, 2021
32021
Künstliche Intelligenz in der Krebstherapie
G Kalweit, M Kalweit, ID Mastroleo, J Bödecker, R Mertelsmann
University of Freiburg, 2023
12023
Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning
P Schmidt-Barbo, G Kalweit, M Naouar, L Paschold, E Willscher, ...
PLOS Computational Biology 20 (7), e1011570, 2024
2024
Training a Reinforcement Learning Agent to Control an Autonomous System
J Boedecker, M Huegle, G Kalweit, M Werling
US Patent App. 18/020,688, 2024
2024
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