Gabriel Kalweit

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Reinforcement Learning

Tumor Detection

Vision Algorithms

Top Venues

Publications

Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit, Joschka Boedecker
Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design. CoRR (2024)
Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker
L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization. CoRR (2023)
Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Christian Metzger, Joschka Boedecker, Maria Kalweit
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles. CoRR (2023)
Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Laura Infante Ramírez, Roland Mertelsmann, Joschka Boedecker, Maria Kalweit
CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations. CoRR (2023)
Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard
Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRL (2022)
Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard
Affordance Learning from Play for Sample-Efficient Policy Learning. CoRR (2022)
Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard
Affordance Learning from Play for Sample-Efficient Policy Learning. ICRA (2022)
Gabriel Kalweit, Maria Kalweit, Joschka Boedecker
Robust and Data-efficient Q-learning by Composite Value-estimation. Trans. Mach. Learn. Res. 2022 (2022)
Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Deep Surrogate Q-Learning for Autonomous Driving. ICRA (2022)
Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard
Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRR (2022)
Maria Kalweit, Gabriel Kalweit, Joschka Boedecker
AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values. AI4Function@IJCAI (2021)
Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. ICRA (2021)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes. IROS (2021)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Deep Inverse Q-learning with Constraints. NeurIPS (2020)
Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. CoRR (2020)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Deep Inverse Q-learning with Constraints. CoRR (2020)
Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis. CoRR (2020)
Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. ICRA (2020)
Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving. CoRR (2020)
Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. ICRA (2020)
Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Deep Surrogate Q-Learning for Autonomous Driving. CoRR (2020)
Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. CoRR (2019)
Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. CoRR (2019)
Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. IROS (2019)
Gabriel Kalweit, Maria Hügle, Joschka Boedecker
Off-policy Multi-step Q-learning. CoRR (2019)
Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. CoRR (2019)
Gabriel Kalweit, Joschka Boedecker
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning. CoRL (2017)