Lukas Schmidt

Lukas Schmidt

Academic CV

  • From 2021: PhD Candidate at the Machine Learning & Data Analytics Lab, FAU Erlangen-Nuremberg
  • From 2020: Research Staff at the Fraunhofer-Institut für Integrierte Schaltungen IIS
  • 2019: Research Assistant at the Machine Learning and Information Fusion Group, Fraunhofer IIS
  • 2019: Working Student at Capgemini
  • 2017-2019: M.Sc. Informatik, FAU Erlangen-Nürnberg
  • 2013-2017: B.Sc. Mechatronics, FAU Erlangen-Nürnberg

Teaching

  • Reinforcement Learning – Summer Semester 2021

Publications

  • Accepted, not yet published:
    Schmidt L. M., Kontes G., Plinge A., Mutschler C.:
    Can You Trust Your Autonomous Car? Interpretable and Verifiably Safe Reinforcement Learning
    In: 2021 IEEE Intelligent Vehicles Symposium (IV)

Theses

  • How far is far? Evaluation, Visualization, and Interpretation of RNNs on Physically Correct Movements
    Supervisors: Feigl T., Christopher M., Philippsen M.
    Link