| Safe reinforcement learning for autonomous lane changing using set-based prediction H Krasowski, X Wang, M Althoff 2020 IEEE 23rd international conference on Intelligent Transportation …, 2020 | 77 | 2020 |
| Trajectory prediction for intelligent vehicles using spatial‐attention mechanism J Yan, Z Peng, H Yin, J Wang, X Wang, Y Shen, W Stechele, D Cremers IET Intelligent Transport Systems 14 (13), 1855-1863, 2020 | 37 | 2020 |
| CommonRoad-RL: A configurable reinforcement learning environment for motion planning of autonomous vehicles X Wang, H Krasowski, M Althoff 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 30 | 2021 |
| Ensuring safety of learning-based motion planners using control barrier functions X Wang IEEE Robotics and Automation Letters 7 (2), 4773-4780, 2022 | 21 | 2022 |
| Falsification-based robust adversarial reinforcement learning X Wang, S Nair, M Althoff 2020 19th IEEE International Conference on Machine Learning and Applications …, 2020 | 20 | 2020 |
| Provably safe reinforcement learning via action projection using reachability analysis and polynomial zonotopes N Kochdumper, H Krasowski, X Wang, S Bak, M Althoff IEEE Open Journal of Control Systems 2, 79-92, 2023 | 19 | 2023 |
| Coupling apollo with the CommonRoad motion planning framework X Wang, AK Rettinger, MTB Waez, M Althoff Proceedings of the FISITA Web Congress 2020, 24, 2020 | 10 | 2020 |
| Provably safe reinforcement learning: A theoretical and experimental comparison H Krasowski, J Thumm, M Müller, X Wang, M Althoff arXiv preprint arXiv:2205.06750, 2022 | 9 | 2022 |
| Learning to obey traffic rules using constrained policy optimization X Wang, C Pillmayer, M Althoff 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 5 | 2022 |
