Traffic light recognition for complex scene with fusion detections X Li, H Ma, X Wang, X Zhang IEEE Transactions on Intelligent Transportation Systems 19 (1), 199-208, 2017 | 82 | 2017 |
Pretraining deep actor-critic reinforcement learning algorithms with expert demonstrations X Zhang, H Ma arXiv preprint arXiv:1801.10459, 2018 | 50 | 2018 |
Driving behavior prediction considering cognitive prior and driving context D Zhou, H Liu, H Ma, X Wang, X Zhang, Y Dong IEEE Transactions on Intelligent Transportation Systems 22 (5), 2669-2678, 2020 | 27 | 2020 |
Optimization of the occlusion strategy in visual tracking J Wen, H Ma, X Zhang Tsinghua Science and Technology 21 (2), 221-230, 2016 | 22 | 2016 |
Survival-oriented reinforcement learning model: An effcient and robust deep reinforcement learning algorithm for autonomous driving problem C Ye, H Ma, X Zhang, K Zhang, S You Image and Graphics: 9th International Conference, ICIG 2017, Shanghai, China …, 2017 | 15 | 2017 |
LIDAR: learning from imperfect demonstrations with advantage rectification X Zhang, H Ma, X Luo, J Yuan Frontiers of Computer Science 16, 1-10, 2022 | 3 | 2022 |
Pretrain soft q-learning with imperfect demonstrations X Zhang, Y Li, H Ma, X Luo arXiv preprint arXiv:1905.03501, 2019 | 3 | 2019 |
Multi-task long-range urban driving based on hierarchical planning and reinforcement learning X Zhang, M Wu, H Ma, T Hu, J Yuan 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 2 | 2021 |
Stochastic approximation for expensive one-bit feedback systems X Zhang, H Ma, J Wen Tsinghua Science and Technology 22 (3), 317-327, 2017 | 2 | 2017 |