| Constrained variational policy optimization for safe reinforcement learning Z Liu, Z Cen, V Isenbaev, W Liu, S Wu, B Li, D Zhao International Conference on Machine Learning, 13644-13668, 2022 | 68 | 2022 |
| Vehicle trajectory prediction using intention-based conditional variational autoencoder X Feng, Z Cen, J Hu, Y Zhang 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3514-3519, 2019 | 52 | 2019 |
| Trustworthy reinforcement learning against intrinsic vulnerabilities: Robustness, safety, and generalizability M Xu, Z Liu, P Huang, W Ding, Z Cen, B Li, D Zhao arXiv preprint arXiv:2209.08025, 2022 | 43 | 2022 |
| Constrained decision transformer for offline safe reinforcement learning Z Liu, Z Guo, Y Yao, Z Cen, W Yu, T Zhang, D Zhao International Conference on Machine Learning, 21611-21630, 2023 | 35 | 2023 |
| On the robustness of safe reinforcement learning under observational perturbations Z Liu, Z Guo, Z Cen, H Zhang, J Tan, B Li, D Zhao The Eleventh International Conference on Learning Representations (ICLR 2023), 2022 | 24 | 2022 |
| Datasets and benchmarks for offline safe reinforcement learning Z Liu, Z Guo, H Lin, Y Yao, J Zhu, Z Cen, H Hu, W Yu, T Zhang, J Tan, ... arXiv preprint arXiv:2306.09303, 2023 | 17 | 2023 |
| Will this idea spread beyond academia? Understanding knowledge transfer of scientific concepts across text corpora H Cao*, M Cheng*, Z Cen*, DA McFarland, X Ren EMNLP 2020 Findings, 2020 | 11 | 2020 |
| Constraint-conditioned policy optimization for versatile safe reinforcement learning Y Yao, Z Liu, Z Cen, J Zhu, W Yu, T Zhang, D Zhao Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| Certifiable evaluation for autonomous vehicle perception systems using deep importance sampling (deep is) M Arief, Z Cen, Z Liu, Z Huang, B Li, H Lam, D Zhao 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 4 | 2022 |
| Towards robust and safe reinforcement learning with benign off-policy data Z Liu, Z Guo, Z Cen, H Zhang, Y Yao, H Hu, D Zhao International Conference on Machine Learning, 21586-21610, 2023 | 3 | 2023 |
| Learning from Sparse Offline Datasets via Conservative Density Estimation Z Cen, Z Liu, Z Wang, Y Yao, H Lam, D Zhao The 12th International Conference on Learning Representations (ICLR 2024), 2024 | 2 | 2024 |
| Test against high-dimensional uncertainties: Accelerated evaluation of autonomous vehicles with deep importance sampling M Arief, Z Cen, Z Liu, Z Huang, H Lam, B Li, D Zhao arXiv preprint arXiv:2204.02351, 2022 | 2 | 2022 |
| Gradient shaping for multi-constraint safe reinforcement learning Y Yao, Z Liu, Z Cen, P Huang, T Zhang, W Yu, D Zhao 6th Annual Learning for Dynamics & Control Conference, 25-39, 2024 | | 2024 |
| Feasibility Consistent Representation Learning for Safe Reinforcement Learning Z Cen, Y Yao, Z Liu, D Zhao Forty-first International Conference on Machine Learning, 2024 | | 2024 |
Ding ZhaoCarnegie Mellon University在 cmu.edu 的电子邮件经过验证
