Johannes Fischer

Affiliations:
  • Karlsruhe Institute of Technology, Germany


According to our database1, Johannes Fischer authored at least 10 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
PITA: Physics-Informed Trajectory Autoencoder.
CoRR, 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

Guiding Belief Space Planning with Learned Models for Interactive Merging.
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

Sampling-based Inverse Reinforcement Learning Algorithms with Safety Constraints.
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


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