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Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles


Mar 29, 2023
Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Metzger, Joschka Boedecker, Maria Kalweit

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Latent Plans for Task-Agnostic Offline Reinforcement Learning


Sep 19, 2022
Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard

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* CoRL 2022. Project website: http://tacorl.cs.uni-freiburg.de/ 

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Affordance Learning from Play for Sample-Efficient Policy Learning


Mar 01, 2022
Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukas Hermann, Joschka Boedecker, Wolfram Burgard

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* Accepted at the 2022 IEEE International Conference on Robotics and Automation (ICRA). Videos at http://vapo.cs.uni-freiburg.de/ 

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Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways


Dec 06, 2020
Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

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Deep Surrogate Q-Learning for Autonomous Driving


Oct 21, 2020
Maria Huegle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

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A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis


Aug 14, 2020
Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker

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* Accepted at the AAAI 2020 International Workshop on Health Intelligence 

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Deep Inverse Q-learning with Constraints


Aug 04, 2020
Gabriel Kalweit, Maria Huegle, Moritz Werling, Joschka Boedecker

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Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving


Mar 20, 2020
Gabriel Kalweit, Maria Huegle, Moritz Werling, Joschka Boedecker

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Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video


Oct 21, 2019
Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard

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* Video at https://www.youtube.com/watch?v=z8gG1k9kSqA 

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Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving


Sep 30, 2019
Maria Huegle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

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