| When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning H Niu, S Sharma, Y Qiu, M Li, G Zhou, J Hu, X Zhan Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS 2022), 2022 | 21 | 2022 |
| Graph attention convolutional network: Spatiotemporal modeling for urban traffic prediction Q Song, RB Ming, J Hu, H Niu, M Gao IEEE International Conference on Intelligent Transportation Systems (ITSC …, 2020 | 13 | 2020 |
| DRL: Surfacing Corner Cases to Robustify Autonomous Driving via Domain Randomization Reinforcement Learning H Niu, J Hu, Z Cui, Y Zhang 5th International Conference on Computer Science and Application Engineering …, 2021 | 12 | 2021 |
| Discriminator-Guided Model-Based Offline Imitation Learning W Zhang, H Xu, H Niu, P Cheng, M Li, H Zhang, G Zhou, X Zhan 6th Annual Conference on Robot Learning (CoRL 2022), 2022 | 10 | 2022 |
| A Versatile and Efficient Reinforcement Learning Approach for Autonomous Driving G Wang, H Niu, D Zhu, J Hu, X Zhan, G Zhou Machine Learning for Autonomous Driving Workshop NeurIPS 2022, 2022 | 7* | 2022 |
| Tactical decision making for emergency vehicles based on a combinational learning method H Niu, J Hu, Z Cui, Y Zhang CICTP 2021, 2557-2566, 2021 | 2 | 2021 |
| Stackelberg Driver Model for Continual Policy Improvement in Scenario-Based Closed-Loop Autonomous Driving H Niu, Q Chen, Y Li, Y Zhang, J Hu NeurIPS 2023 Symposium on Machine Learning for Autonomous Driving & Agent …, 2023 | 1 | 2023 |
| DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning J Li, J Zheng, Y Zheng, L Mao, X Hu, S Cheng, H Niu, J Liu, Y Liu, J Liu, ... arXiv preprint arXiv:2402.18137, 2024 | | 2024 |
| A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents H Niu, J Hu, G Zhou, X Zhan International Joint Conference on Artificial Intelligence (IJCAI 2024), 2024 | | 2024 |
| Continual Driving Policy Optimization with Closed-Loop Individualized Curricula H Niu, Y Xu, X Jiang, J Hu IEEE International Conference on Robotics and Automation (ICRA 2024), 2024 | | 2024 |
| H2O+: An Improved Framework for Hybrid Offline-and-Online RL with Dynamics Gaps H Niu, T Ji, B Liu, H Zhao, X Zhu, J Zheng, P Huang, G Zhou, J Hu, X Zhan DMLR Workshop@ICLR 2024, 2023 | | 2023 |
| (Re)H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning H Niu, K Ren, Y Xu, Z Yang, Y Lin, Y Zhang, J Hu IEEE Intelligent Vehicles Symposium 2023, 2023 | | 2023 |
Jianming HUAssociate Professor of Department of Automation, Tsinghua University在 mail.tsinghua.edu.cn 的电子邮件经过验证
