| 2025 | ICLR | 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 |
| 2025 | MICCAI | One For All: A Unified Approach to Classification and Self-explanation. | Mehdi Naouar, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit |
| 2024 | ECAI | UDUC: An Uncertainty-Driven Approach for Learning-Based Robust Control. | Yuan Zhang, Jasper Hoffmann, Joschka Boedecker |
| 2024 | ICAPS | Improving the Efficiency and Efficacy of Multi-Agent Reinforcement Learning on Complex Railway Networks with a Local-Critic Approach. | Yuan Zhang, Umashankar Deekshith, Jianhong Wang, Joschka Boedecker |
| 2024 | IROS | Safe Imitation Learning of Nonlinear Model Predictive Control for Flexible Robots. | Shamil Mamedov, Rudolf Reiter, Seyed Mahdi B. Azad, Ruan Viljoen, Joschka Boedecker, Moritz Diehl, Jan Swevers |
| 2024 | ICRA | Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry. | Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard |
| 2023 | CoRL | Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization. | Yuan Zhang, Jianhong Wang, Joschka Boedecker |
| 2022 | CoRL | Latent Plans for Task-Agnostic Offline Reinforcement Learning. | Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard |
| 2022 | ICRA | Affordance Learning from Play for Sample-Efficient Policy Learning. | Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Luks Hermann, Joschka Boedecker, Wolfram Burgard |
| 2022 | ICRA | Deep Surrogate Q-Learning for Autonomous Driving. | Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker |
| 2021 | IJCAI | AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values. | Maria Kalweit, Gabriel Kalweit, Joschka Boedecker |
| 2021 | ICRA | Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. | Branka Mirchevska, Maria Hgle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker |
| 2021 | IROS | Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes. | Gabriel Kalweit, Maria Hgle, Moritz Werling, Joschka Boedecker |
| 2021 | IROS | Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty. | Alireza Ranjbar, Ngo Anh Vien, Hanna Ziesche, Joschka Boedecker, Gerhard Neumann |
| 2020 | ICRA | Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. | Maria Hgle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker |
| 2020 | IROS | Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning. | Marina Kollmitz, Torsten Koller, Joschka Boedecker, Wolfram Burgard |
| 2019 | ICRA | Multimodal Spatio-Temporal Information in End-to-End Networks for Automotive Steering Prediction. | Mohamed Abou-Hussein, Stefan H. Mller, Joschka Boedecker |
| 2019 | IROS | Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. | Maria Hgle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker |
| 2018 | ESANN | Controlling biological neural networks with deep reinforcement learning. | Jan Wlfing, Sreedhar S. Kumar, Joschka Boedecker, Martin A. Riedmiller, Ulrich Egert |
| 2018 | IJCNN | Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller. | Maria Hgle, Simon Heller, Manuel Watter, Manuel Blum, Farrokh Manzouri, Matthias Dmpelmann, Andreas Schulze-Bonhage, Peter Woias, Joschka Boedecker |
| 2017 | CoRL | Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning. | Gabriel Kalweit, Joschka Boedecker |
| 2017 | IROS | Deep reinforcement learning with successor features for navigation across similar environments. | Jingwei Zhang, Jost Tobias Springenberg, Joschka Boedecker, Wolfram Burgard |
| 2011 | AAAI | Between Frustration and Elation: Sense of Control Regulates the lntrinsic Motivation for Motor Learning. | Beata J. Grzyb, Joschka Boedecker, Minoru Asada, Angel P. del Pobil, Linda B. Smith |
| 2010 | ICONIP | Improving Recurrent Neural Network Performance Using Transfer Entropy. | Oliver Obst, Joschka Boedecker, Minoru Asada |
| 2009 | ESANN | Studies on reservoir initialization and dynamics shaping in echo state networks. | Joschka Boedecker, Oliver Obst, Norbert Michael Mayer, Minoru Asada |
| 2007 | RoboCup | Introducing Physical Visualization Sub-league. | Rodrigo da Silva Guerra, Joschka Boedecker, Norbert Michael Mayer, Shinzo Yanagimachi, Yasuji Hirosawa, Kazuhiko Yoshikawa, Masaaki Namekawa, Minoru Asada |
| 2007 | RoboCup | HMDP: A New Protocol for Motion Pattern Generation Towards Behavior Abstraction. | Norbert Michael Mayer, Joschka Boedecker, Kazuhiro Masui, Masaki Ogino, Minoru Asada |
| 2006 | RoboCup | 3D2Real: Simulation League Finals in Real Robots. | Norbert Michael Mayer, Joschka Boedecker, Rodrigo da Silva Guerra, Oliver Obst, Minoru Asada |
| 2005 | RoboCup | Flexible Coordination of Multiagent Team Behavior Using HTN Planning. | Oliver Obst, Joschka Boedecker |