| 1001 ways of scenario generation for testing of self-driving cars: A survey B Schütt, J Ransiek, T Braun, E Sax 2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023 | 13 | 2023 |
| Robust parameter estimation and tracking through lyapunov-based actor-critic reinforcement learning T Rudolf, J Ransiek, S Schwab, S Hohmann IECON 2022–48th Annual Conference of the IEEE Industrial Electronics Society …, 2022 | 6 | 2022 |
| Generation of Adversarial Trajectories using Reinforcement Learning to Test Motion Planning Algorithms J Ransiek, B Schütt, A Hof, E Sax 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 3 | 2023 |
| GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation J Ransiek, J Plaum, J Langner, E Sax arXiv preprint arXiv:2406.03870, 2024 | 2 | 2024 |
| Adversarial and Reactive Traffic Agents for Realistic Driving Simulation J Ransiek, P Reis, E Sax arXiv preprint arXiv:2409.14196, 2024 | | 2024 |
| Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning D Flögel, MG Villafane, J Ransiek, S Hohmann arXiv preprint arXiv:2409.10655, 2024 | | 2024 |
| Statistical Consideration of the Representativeness of Open Road Tests for the Validation of Automated Driving Systems J Langner, R Pohl, J Ransiek, P Elspas, E Sax 2023 IEEE International Automated Vehicle Validation Conference (IAVVC), 1-8, 2023 | | 2023 |
