Aron Distelzweig

According to our database, Aron Distelzweig authored at least 8 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Beyond Self-Play and Scale: A Behavior Benchmark for Generalization in Autonomous Driving.

Aron Distelzweig, Faris Janjos, Andreas Look, Anna Rothenhäusler, Daniel Jost, Oliver Scheel, Raghu Rajan, Daphne Cornelisse, Eugene Vinitsky, Joschka Boedecker

CoRR, May, 2026

2025

Driving is a Game: Combining Planning and Prediction with Bayesian Iterative Best Response.

Aron Distelzweig, Yiwei Wang, Faris Janjos, Marcel Hallgarten, Mihai Dobre, Alexander Langmann, Joschka Boedecker, Johannes Betz

CoRR, December, 2025

Perfect Prediction or Plenty of Proposals? What Matters Most in Planning for Autonomous Driving.

Aron Distelzweig, Faris Janjos, Oliver Scheel, Sirish Reddy Varra, Raghu Rajan, Joschka Boedecker

CoRR, October, 2025

When Planners Meet Reality: How Learned, Reactive Traffic Agents Shift nuPlan Benchmarks.

Steffen Hagedorn, Luka Donkov, Aron Distelzweig, Alexandru Paul Condurache

CoRR, October, 2025

Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error Feedback.

Steffen Hagedorn, Aron Distelzweig, Marcel Hallgarten, Alexandru Paul Condurache

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction.

Aron Distelzweig, Andreas Look, Eitan Kosman, Faris Janjos, Jörg Wagner, Abhinav Valada

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Motion Forecasting via Model-Based Risk Minimization.

Aron Distelzweig, Eitan Kosman, Andreas Look, Faris Janjos, Denesh K. Manivannan, Abhinav Valada

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024

Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving.

Aron Distelzweig, Andreas Look, Eitan Kosman, Faris Janjos, Jörg Wagner, Abhinav Valada

CoRR, 2024