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Zhepeng Cen
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 22
Top Topics
Conditional Distribution
Vehicle Trajectory
Knowledge Transfer
Reinforcement Learning
Top Venues
CoRR
ICML
ITSC
ICLR
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Publications
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Zhepeng Cen
,
Zuxin Liu
,
Zitong Wang
,
Yihang Yao
,
Henry Lam
,
Ding Zhao
Learning from Sparse Offline Datasets via Conservative Density Estimation.
ICLR
(2024)
Yihang Yao
,
Zuxin Liu
,
Zhepeng Cen
,
Peide Huang
,
Tingnan Zhang
,
Wenhao Yu
,
Ding Zhao
Gradient shaping for multi-constraint safe reinforcement learning.
L4DC
(2024)
Zhepeng Cen
,
Yihang Yao
,
Zuxin Liu
,
Ding Zhao
Feasibility Consistent Representation Learning for Safe Reinforcement Learning.
CoRR
(2024)
Zhepeng Cen
,
Zuxin Liu
,
Zitong Wang
,
Yihang Yao
,
Henry Lam
,
Ding Zhao
Learning from Sparse Offline Datasets via Conservative Density Estimation.
CoRR
(2024)
Yihang Yao
,
Zhepeng Cen
,
Wenhao Ding
,
Haohong Lin
,
Shiqi Liu
,
Tingnan Zhang
,
Wenhao Yu
,
Ding Zhao
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning.
CoRR
(2024)
Yihang Yao
,
Zuxin Liu
,
Zhepeng Cen
,
Peide Huang
,
Tingnan Zhang
,
Wenhao Yu
,
Ding Zhao
Gradient Shaping for Multi-Constraint Safe Reinforcement Learning.
CoRR
(2023)
Zuxin Liu
,
Zijian Guo
,
Yihang Yao
,
Zhepeng Cen
,
Wenhao Yu
,
Tingnan Zhang
,
Ding Zhao
Constrained Decision Transformer for Offline Safe Reinforcement Learning.
CoRR
(2023)
Zuxin Liu
,
Zijian Guo
,
Zhepeng Cen
,
Huan Zhang
,
Jie Tan
,
Bo Li
,
Ding Zhao
On the Robustness of Safe Reinforcement Learning under Observational Perturbations.
ICLR
(2023)
Zuxin Liu
,
Zijian Guo
,
Yihang Yao
,
Zhepeng Cen
,
Wenhao Yu
,
Tingnan Zhang
,
Ding Zhao
Constrained Decision Transformer for Offline Safe Reinforcement Learning.
ICML
(2023)
Zuxin Liu
,
Zijian Guo
,
Haohong Lin
,
Yihang Yao
,
Jiacheng Zhu
,
Zhepeng Cen
,
Hanjiang Hu
,
Wenhao Yu
,
Tingnan Zhang
,
Jie Tan
,
Ding Zhao
Datasets and Benchmarks for Offline Safe Reinforcement Learning.
CoRR
(2023)
Zuxin Liu
,
Zijian Guo
,
Zhepeng Cen
,
Huan Zhang
,
Yihang Yao
,
Hanjiang Hu
,
Ding Zhao
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data.
ICML
(2023)
Yihang Yao
,
Zuxin Liu
,
Zhepeng Cen
,
Jiacheng Zhu
,
Wenhao Yu
,
Tingnan Zhang
,
Ding Zhao
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.
NeurIPS
(2023)
Yihang Yao
,
Zuxin Liu
,
Zhepeng Cen
,
Jiacheng Zhu
,
Wenhao Yu
,
Tingnan Zhang
,
Ding Zhao
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.
CoRR
(2023)
Mansur Arief
,
Zhepeng Cen
,
Zhenyuan Liu
,
Zhiyuan Huang
,
Bo Li
,
Henry Lam
,
Ding Zhao
Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS).
ITSC
(2022)
Zuxin Liu
,
Zhepeng Cen
,
Vladislav Isenbaev
,
Wei Liu
,
Steven Wu
,
Bo Li
,
Ding Zhao
Constrained Variational Policy Optimization for Safe Reinforcement Learning.
ICML
(2022)
Mansur Arief
,
Zhepeng Cen
,
Zhenyuan Liu
,
Zhiyuan Huang
,
Henry Lam
,
Bo Li
,
Ding Zhao
Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling.
CoRR
(2022)
Zuxin Liu
,
Zijian Guo
,
Zhepeng Cen
,
Huan Zhang
,
Jie Tan
,
Bo Li
,
Ding Zhao
On the Robustness of Safe Reinforcement Learning under Observational Perturbations.
CoRR
(2022)
Mengdi Xu
,
Zuxin Liu
,
Peide Huang
,
Wenhao Ding
,
Zhepeng Cen
,
Bo Li
,
Ding Zhao
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability.
CoRR
(2022)
Zuxin Liu
,
Zhepeng Cen
,
Vladislav Isenbaev
,
Wei Liu
,
Zhiwei Steven Wu
,
Bo Li
,
Ding Zhao
Constrained Variational Policy Optimization for Safe Reinforcement Learning.
CoRR
(2022)
Hancheng Cao
,
Mengjie Cheng
,
Zhepeng Cen
,
Daniel A. McFarland
,
Xiang Ren
Will this Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora.
EMNLP (Findings)
(2020)
Hancheng Cao
,
Mengjie Cheng
,
Zhepeng Cen
,
Daniel A. McFarland
,
Xiang Ren
Will This Idea Spread Beyond Academia? Understanding Knowledge Transfer of Scientific Concepts across Text Corpora.
CoRR
(2020)
Xidong Feng
,
Zhepeng Cen
,
Jianming Hu
,
Yi Zhang
Vehicle Trajectory Prediction Using Intention-based Conditional Variational Autoencoder.
ITSC
(2019)