Adaptive behavior generation for autonomous driving using deep reinforcement learning with compact semantic states P Wolf, K Kurzer, T Wingert, F Kuhnt, JM Zollner 2018 IEEE Intelligent Vehicles Symposium (IV), 993-1000, 2018 | 25 | 2018 |
Path planning in unstructured environments: A real-time Hybrid A* implementation for fast and deterministic path generation for the KTH Research Concept Vehicle K Kurzer | 18 | 2016 |
Decentralized cooperative planning for automated vehicles with hierarchical monte carlo tree search K Kurzer, C Zhou, JM Zöllner 2018 IEEE Intelligent Vehicles Symposium (IV), 529-536, 2018 | 13 | 2018 |
Decentralized cooperative planning for automated vehicles with continuous monte carlo tree search K Kurzer, F Engelhorn, JM Zöllner 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 10 | 2018 |
Accelerating Cooperative Planning for Automated Vehicles with Learned Heuristics and Monte Carlo Tree Search K Kurzer, M Fechner, JM Zöllner 2020 IEEE Intelligent Vehicles Symposium (IV), 1726-1733, 2020 | 2 | 2020 |
Parallelization of Monte Carlo Tree Search in Continuous Domains K Kurzer, C Hörtnagl, JM Zöllner arXiv preprint arXiv:2003.13741, 2020 | 1 | 2020 |
Generalizing Decision Making for Automated Driving with an Invariant Environment Representation using Deep Reinforcement Learning K Kurzer, P Schörner, A Albers, H Thomsen, K Daaboul, JM Zöllner arXiv preprint arXiv:2102.06765, 2021 | | 2021 |