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 | 39 | 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 | 27 | 2022 |
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 | 4 | 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 | 2 | 2022 |