Gabriel Kalweit
Gabriel Kalweit
Email verificata su cs.uni-freiburg.de - Home page
Titolo
Citata da
Citata da
Anno
Uncertainty-driven imagination for continuous deep reinforcement learning
G Kalweit, J Boedecker
Conference on Robot Learning, 195-206, 2017
812017
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
192019
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
112020
A dynamic deep neural network for multimodal clinical data analysis
M Hgle, G Kalweit, T Hgle, J Boedecker
Explainable AI in Healthcare and Medicine, 79-92, 2021
92021
Dynamic interaction-aware scene understanding for reinforcement learning in autonomous driving
M Huegle, G Kalweit, M Werling, J Boedecker
2020 IEEE International Conference on Robotics and Automation (ICRA), 4329-4335, 2020
82020
Deep inverse Q-learning with constraints
G Kalweit, M Huegle, M Werling, J Boedecker
arXiv preprint arXiv:2008.01712, 2020
72020
Deep constrained q-learning
G Kalweit, M Huegle, M Werling, J Boedecker
arXiv preprint arXiv:2003.09398, 2020
6*2020
Composite Q-learning: Multi-scale Q-function Decomposition and Separable Optimization
G Kalweit, M Huegle, J Boedecker
arXiv preprint arXiv:1909.13518, 2019
4*2019
Personalized prediction of disease activity in patients with rheumatoid arthritis using an adaptive deep neural network
M Kalweit, UA Walker, A Finckh, R Mller, G Kalweit, A Scherer, ...
PloS one 16 (6), e0252289, 2021
2021
POS0468 PREDICTION OF RHEUMATOID ARTHRITIS DISEASE ACTIVITY BY AN ADAPTIVE DEEP NEURAL NETWORK: BETTER RESULTS IN SEROPOSITIVE PATIENTS WITH LONGER DISEASE DURATION
M Hgle, G Kalweit, J Boedecker, R Muller, A Finckh, A Scherer, U Walker, ...
Annals of the Rheumatic Diseases 80 (Suppl 1), 465-466, 2021
2021
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways
B Mirchevska, M Hgle, G Kalweit, M Werling, J Boedecker
arXiv preprint arXiv:2012.03234, 2020
2020
Deep Surrogate Q-Learning for Autonomous Driving
M Huegle, G Kalweit, M Werling, J Boedecker
arXiv preprint arXiv:2010.11278, 2020
2020
Personalized Prediction of Disease Activity in Patients with Rheumatoid Arthritis Using an Adaptive Deep Neural Network
M Hgle, UA Walker, A Finckh, R Mueller, G Kalweit, A Scherer, ...
medRxiv, 2020
2020
NeuRL: Closed-form Inverse Reinforcement Learning for Neural Decoding
G Kalweit, M Kalweit, M Alyahyay, Z Jaeckel, F Steenbergen, S Hardung, ...
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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