Johannes Fischer

M.Sc. Johannes Fischer

  • 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

Zu vergebende Abschlussarbeiten

Veröffentlichungen

Johannes Fischer, Alexei Trofimov, Christoph Stiller. Physics-Informed Reinforcement Learning for Automated Merging in Dense Traffic. In 15. Workshop Fahrerassistenz Und Automatisiertes Fahren (FAS), Berkheim, Germany, October 2023. accepted.

Johannes Fischer, Marlon Steiner, Ömer Sahin Tas, Christoph Stiller. Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving. In 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), Bilbao, Spain, September 2023. accepted.

Johannes Fischer, Etienne Bührle, Christoph Stiller. Gap Approaching Intelligent Driver Model for Interactive Simulation of Merging Scenarios. In 2023 IEEE Intelligent Vehicles Symposium (IV), Seiten 1--8, Anchorage, United States, June 2023. [ DOI ]

Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel J. Kochenderfer. SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments. In 2023 IEEE International Conference on Robotics and Automation (ICRA), Seiten 1530--1536, May 2023. [ DOI ]

Christoph Burger, Johannes Fischer, Frank Bieder, Ömer Sahin Tas, Christoph Stiller. Interaction-Aware Game-Theoretic Motion Planning for Automated Vehicles Using Bi-level Optimization. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Seiten 3978--3985, Macau, China, October 2022. (2nd Place "Best Paper Award"). [ DOI | .pdf ]

Danial Kamran, Thiago D. Simão, Qisong Yang, Canmanie T. Ponnambalam, Johannes Fischer, Matthijs T.J. Spaan, Martin Lauer. A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Seiten 4017--4023, Macau, China, October 2022. [ DOI ]

Johannes Fischer, Etienne Bührle, Danial Kamran, Christoph Stiller. Guiding Belief Space Planning with Learned Models for Interactive Merging. In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), Seiten 2542--2549, Macau, China, October 2022. [ DOI ]

Johannes Fischer, Christoph Eyberg, Moritz Werling, Martin Lauer. Sampling-Based Inverse Reinforcement Learning Algorithms with Safety Constraints. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Seiten 791--798, September 2021. [ DOI ]

Danial Kamran, Tizian Engelgeh, Marvin Busch, Johannes Fischer, Christoph Stiller. Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Seiten 1236--1243, Prague, Czech Republic, September 2021. [ DOI ]

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 ]