关注
Lukas Schmidt
Lukas Schmidt
Deep RL Scientist, Fraunhofer IIS
在 iis.fraunhofer.de 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
392021
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
272022
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
42022
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
系统目前无法执行此操作,请稍后再试。
文章 1–4