Kalweit, Gabriel

8 publications

TMLR 2025 SR-Reward: Taking the Path More Traveled Seyed Mahdi B. Azad, Zahra Padar, Gabriel Kalweit, Joschka Boedecker

ICLR 2025 Salvage: Shapley-Distribution Approximation Learning via Attribution Guided Exploration for Explainable Image Classification Mehdi Naouar, Hanne Raum, Jens Rahnfeld, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit

TMLR 2024 Multi-Intention Inverse Q-Learning for Interpretable Behavior Representation Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker

ICMLW 2024 Unsupervised Feature Extraction from a Foundation Model Zoo for Cell Similarity Search in Oncological Microscopy Across Devices Gabriel Kalweit, Anusha Klett, Mehdi Naouar, Jens Rahnfeld, Yannick Vogt, Diana Laura Infante Ramirez, Rebecca Berger, Jesus Duque Afonso, Tanja Nicole Hartmann, Marie Follo, Michael Luebbert, Roland Mertelsmann, Evelyn Ullrich, Joschka Boedecker, Maria Kalweit

CoRL 2022 Latent Plans for Task-Agnostic Offline Reinforcement Learning Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard

TMLR 2022 Robust and Data-Efficient Q-Learning by Composite Value-Estimation Gabriel Kalweit, Maria Kalweit, Joschka Boedecker

NeurIPS 2020 Deep Inverse Q-Learning with Constraints Gabriel Kalweit, Maria Huegle, Moritz Werling, Joschka Boedecker

CoRL 2017 Uncertainty-Driven Imagination for Continuous Deep Reinforcement Learning Gabriel Kalweit, Joschka Boedecker