Johannes Fischer

SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments

Interaction-Aware Game-Theoretic Motion Planning for Automated Vehicles using Bi-level Optimization

Guiding Belief Space Planning with Learned Models for Interactive Merging

A Modern Perspective on Safe Automated Driving for Different Traffic Dynamics using Constrained Reinforcement Learning

Sampling-based Inverse Reinforcement Learning Algorithms with Safety Constraints

Minimizing Safety Interference for Safe and Comfortable Automated Driving with Distributional Reinforcement Learning

Information particle filter tree: An online algorithm for pomdps with belief-based rewards on continuous domains