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Lukas Schmidt
Lukas Schmidt
Deep RL Scientist, Fraunhofer IIS
Adresse e-mail validée de iis.fraunhofer.de
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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
342021
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
222022
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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