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Lukas Schmidt
Lukas Schmidt
Deep RL Scientist, Fraunhofer IIS
Verified email at iis.fraunhofer.de
Title
Cited by
Cited by
Year
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
332021
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
202022
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
22022
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
22022
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Articles 1–4