
M.Sc. Johannes Fischer
- Wissenschaftlicher Mitarbeiter
- Raum: 039
- Tel.: +49 721 608-48760
- johannes fischerIuf3∂kit edu
Karlsruher Institut für Technologie
Institut für Mess- und Regelungstechnik
Engler-Bunte-Ring 21
Gebäude 40.32
D-76131 Karlsruhe
Research
- Inverse Reinforcement Learning for Highway Driving
- Decision Making under Uncertainty
- Stochastic Optimization
Lehre
- Übungen zu Grundlagen der Mess- und Regelungstechnik
- Tutorial for Measurement and Control Systems
- Übungen zu Regelungstechnik und Systemdynamik
Zu vergebende Abschlussarbeiten
- Combining Monte Carlo Tree Search with Reinforcement Learning for Decision Making under Uncertainty
- Efficiently solving POMDPs with constant hidden states by solving an equivalent family of MDPs
- Decision Making under Uncertainty with MCTS-based online POMDP planning
- Deep Inverse Reinforcement Learning for Lane Changes on Highways
- Maximum Entropy Inverse Reinforcement Learning for Lane Changes on Highways
Veröffentlichungen
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 ]