| BARK: Open behavior benchmarking in multi-agent environments J Bernhard, K Esterle, P Hart, T Kessler 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 55 | 2020 |
| Graph neural networks and reinforcement learning for behavior generation in semantic environments P Hart, A Knoll 2020 IEEE Intelligent Vehicles Symposium (IV), 1589-1594, 2020 | 39 | 2020 |
| Bridging the gap between open source software and vehicle hardware for autonomous driving T Kessler, J Bernhard, M Buechel, K Esterle, P Hart, D Malovetz, MT Le, ... 2019 IEEE Intelligent Vehicles Symposium (IV), 1612-1619, 2019 | 26 | 2019 |
| Lane-merging using policy-based reinforcement learning and post-optimization P Hart, L Rychly, A Knoll 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3176-3181, 2019 | 23 | 2019 |
| Spatiotemporal motion planning with combinatorial reasoning for autonomous driving K Esterle, P Hart, J Bernhard, A Knoll 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 19 | 2018 |
| Risk-based safety envelopes for autonomous vehicles under perception uncertainty J Bernhard, P Hart, A Sahu, C Schöller, MG Cancimance 2022 IEEE Intelligent Vehicles Symposium (IV), 104-111, 2022 | 14 | 2022 |
| Counterfactual policy evaluation for decision-making in autonomous driving P Hart, A Knoll arXiv preprint arXiv:2003.11919, 2020 | 13* | 2020 |
| Learning, evaluating and optimizing behavior policies for autonomous vehicles PC Hart Technische Universität München, 2021 | 2 | 2021 |
| Kinodynamic Motion Planning Using Multi-Objective optimization P Hart, A Knoll 2018 IEEE Intelligent Vehicles Symposium (IV), 1185-1190, 2018 | 2 | 2018 |
Alois KnollTechnische Universität München在 in.tum.de 的电子邮件经过验证
