Author

Andreas Look

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#artificial intelligence Preprint Sep 2026

Comfort by Construction: Adaptive, Comfort-Bounded Action Spaces for Learned Driving Policies

Data-driven driving simulators command accelerations and steering rates from a fixed grid without constraining the realized accelerations and jerks. As a result, reinforcement-learning policies inflate safety metrics through abrupt, last-second maneuvers that lie far outside the range of human driving and would be unac...

Anna Rothenhäusler, Daniel Jost, Raghu Rajan et al. · 0 citations

Preprint Aug 2026

PRISM: Privileged Probabilistic Latent Supervision for End-to-End Autonomous Driving Motion Planning

End-to-end autonomous driving (E2E AD) systems integrate perception, prediction, and planning into a single differentiable architecture. While these models show great promise, their standard training often relies on output-only supervision, which can lead to weak gradients for the hidden layers of increasingly complex...

Volodymyr Havrylov, Faris Janjos, Andreas Look et al. · 0 citations