| Can you trust your autonomous car? interpretable and verifiably safe reinforcement learning LM Schmidt, G Kontes, A Plinge, C Mutschler 2021 IEEE Intelligent Vehicles Symposium (IV), 171-178, 2021 | 43 | 2021 |
| An introduction to multi-agent reinforcement learning and review of its application to autonomous mobility LM Schmidt, J Brosig, A Plinge, BM Eskofier, C Mutschler 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 35 | 2022 |
| You'll never share alone: Analyzing carsharing user group behavior F Baumgarte, T Brandt, R Keller, F Röhrich, L Schmidt Transportation Research Part D: Transport and Environment 93, 102754, 2021 | 25 | 2021 |
| Sustainability's Coming Home: Preliminary Design Principles for the Sustainable Smart District R Keller, F Röhrich, L Schmidt, G Fridgen Internationale Tagung Wirtschaftsinformatik, 2019 | 7 | 2019 |
| How to learn from risk: Explicit risk-utility reinforcement learning for efficient and safe driving strategies LM Schmidt, S Rietsch, A Plinge, BM Eskofier, C Mutschler 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 6 | 2022 |
| Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series C Löffler, WC Lai, B Eskofier, D Zanca, L Schmidt, C Mutschler arXiv preprint arXiv:2203.07861, 2022 | 4 | 2022 |
| Distribution-specific augmentation for domain generalization T Goerttler, L Schmidt, K Obermayer International Congress on Information and Communication Technology, 201-214, 2024 | 1 | 2024 |
| AI-based Technologies for Conversational Agent Design–Development Tools and Architectures for Intelligent Interactions T Strohmann, B Khosrawi-Rad, L Schmidt, P Hiske | 1 | 2023 |
| Data Annotation for Support Ticket Data: A Literature Review S Fuchs, J Schnellbach, L Schmidt, H Wittges | | 2024 |
| Distribution-Specific Augmentation T Goerttler, L Schmidt, K Obermayer Proceedings of Ninth International Congress on Information and Communication …, 2024 | | 2024 |
| Objective Evaluation of Deep Visual Interpretations on Time Series Data C Löffler, WC Lai, LM Schmidt, D Zanca, B Eskofier, C Mutschler | | |
