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

• 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 ]