M.Sc. Johannes Fischer
- Research Associate
- Room: 039
- Phone: +49 721 608-48760
- johannes fischerSnq3∂kit edu
Karlsruhe Institute of Technology (KIT)
Institute of Measurement and Control Systems
Engler-Bunte-Ring 21
Building 40.32
76131 Karlsruhe, Germany
Research
- Decision Making under Uncertainty
- Inverse Reinforcement Learning from Human Behavior
- Stochastic Optimization
Teaching
- Übungen zu Grundlagen der Mess- und Regelungstechnik
- Tutorial for Measurement and Control Systems
- Übungen zu Regelungstechnik und Systemdynamik
Open Theses
- Test-driven Inverse Reinforcement Learning of Driving Behavior
- From Board Games to Real Life: Using AlphaZero for Decision Making of Automated Vehicles
Publications
Danial Kamran, Thiago Simão, Qisong Yang, Canmanie Ponnambalam, Johannes Fischer, Matthijs Spaan, Martin Lauer. A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics using Constrained Reinforcement Learning. In Proc. IEEE Intell. Trans. Syst. Conf., Macau, China, 10 2022.
Johannes Fischer, Etienne Bührle, Danial Kamran, Christoph Stiller. Guiding Belief Space Planning with Learned Models for Interactive Merging. In Proc. IEEE Intell. Trans. Syst. Conf., Macau, China, 10 2022.
Christoph Burger, Johannes Fischer, Ömer Sahin Tas, Frank Bieder, Christoph Stiller. Motion Planning in Stackelberg Game Formulation with Bi-level Optimization. In Proc. IEEE Intell. Trans. Syst. Conf., Macau, China, 10 2022.
Johannes Fischer, Christoph Eyberg, Moritz Werling, Martin Lauer. Sampling-based Inverse Reinforcement Learning Algorithms with Safety Constraints. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 2021. accepted.
Danial Kamran, Tizian Engelgeh, Marvin Busch, Johannes Fischer, Christoph Stiller. Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic, September 2021. accepted.
Johannes Fischer, Ömer Sahin Tas. Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains. In Proceedings of the 37th International Conference on Machine Learning (ICML), Vienna, Austria, July 2020. [ .html ]