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 | 20 | 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 | 12 | 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 |
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 | 1 | 2022 |