Johannes Fischer
Affiliations:- Karlsruhe Institute of Technology, Germany
According to our database1,
Johannes Fischer
authored at least 12 papers
between 2020 and 2024.
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Bibliography
2024
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
ConstrainedZero: Chance-Constrained POMDP Planning Using Learned Probabilistic Failure Surrogates and Adaptive Safety Constraints.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
Gap Approaching Intelligent Driver Model for Interactive Simulation of Merging Scenarios.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023
Safety Reinforced Model Predictive Control (SRMPC): Improving MPC with Reinforcement Learning for Motion Planning in Autonomous Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023
SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics Using Constrained Reinforcement Learning.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
Interaction-Aware Game-Theoretic Motion Planning for Automated Vehicles using Bi-level Optimization.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022
2021
Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
Information Particle Filter Tree: An Online Algorithm for POMDPs with Belief-Based Rewards on Continuous Domains.
Proceedings of the 37th International Conference on Machine Learning, 2020