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Zhepeng Cen
Zhepeng Cen
在 andrew.cmu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
562022
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
462019
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
352022
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
242023
On the robustness of safe reinforcement learning under observational perturbations
Z Liu, Z Guo, Z Cen, H Zhang, J Tan, B Li, D Zhao
ICLR 2023, 2022
192022
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
162023
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
112020
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
42022
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
32023
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
12024
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
12022
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning
Y Yao, Z Liu, Z Cen, P Huang, T Zhang, W Yu, D Zhao
arXiv preprint arXiv:2312.15127, 2023
2023
Learning from Sparse Offline Datasets via Conservative Density Estimation
Z Cen, Z Liu, Z Wang, Y Yao, H Lam, D Zhao
ICLR 2024, 0
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