M.Sc. Johannes Fischer
- Wissenschaftlicher Mitarbeiter
- Raum: 039
- Tel.: +49 721 608-48760
- johannes fischerJxd9∂kit edu
Karlsruher Institut für Technologie (KIT)
Institut für Mess- und Regelungstechnik
Engler-Bunte-Ring 21
Gebäude 40.32
D-76131 Karlsruhe
Forschung
- Decision Making under Uncertainty
- Inverse Reinforcement Learning from Human Behavior
- Stochastic Optimization
Lehre
- Übungen zu Grundlagen der Mess- und Regelungstechnik
- Tutorial for Measurement and Control Systems
- Übungen zu Regelungstechnik und Systemdynamik
Zu vergebende Abschlussarbeiten
- Test-driven Inverse Reinforcement Learning of Driving Behavior
- From Board Games to Real Life: Using AlphaZero for Decision Making of Automated Vehicles
Veröffentlichungen
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, 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.
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 ]