Zhepeng Cen

PhD student, CMU, Carnegie Mellon University

Joined

May 2022

Names

Zhepeng Cen (Preferred)

Emails

****@andrew.cmu.edu (Confirmed)

****@outlook.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

CMU, Carnegie Mellon University (andrew.cmu.edu)

2021 – 2026

Undergrad student

Automation, Tsinghua University, Tsinghua University (mails.tsinghua.edu.cn)

2016 – 2020

Advisors, Relations & Conflicts

No relations added

Expertise

Safe reinforcement learning

2021 – 2023

Offline reinforcement learning

2021 – 2023

Publications

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
Yihang Yao, Zhepeng Cen, Haohong Lin, Shiqi Liu, Zuxin Liu, Jiacheng Zhu, Zhang-Wei Hong, Laixi Shi, Ding Zhao
- LLA 2026 Poster
- Readers: Everyone
Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels
Zhepeng Cen, Haolin Chen, Shiyu Wang, Zuxin Liu, Zhiwei Liu, Ding Zhao, Caiming Xiong, Huan Wang, Weiran Yao
- ICLR 2026 Poster
- Readers: Everyone
LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering
Jielin Qiu, Zuxin Liu, Zhiwei Liu, Rithesh R N, Jianguo Zhang, Haolin Chen, Shiyu Wang, Ming Zhu, Liangwei Yang, Juntao Tan, Zhepeng Cen, Cheng Qian, Shelby Heinecke, Weiran Yao, Silvio Savarese, Caiming Xiong, Huan Wang
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Behavior Injection: Preparing Language Models for Reinforcement Learning
Zhepeng Cen, Yihang Yao, William Han, Zuxin Liu, Ding Zhao
- NeurIPS 2025 poster
- Readers: Everyone
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
- SSI-FM Poster
- Readers: Everyone
Bridging the Training-Inference Gap in LLMs by Leveraging Self-Generated Tokens
Zhepeng Cen, Yao Liu, Siliang Zeng, Pratik Chaudhari, Huzefa Rangwala, George Karypis, Rasool Fakoor
- Accepted by TMLR
- Readers: Everyone
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning
Yihang Yao, Zhepeng Cen, Wenhao Ding, Haohong Lin, Shiqi Liu, Tingnan Zhang, Wenhao Yu, Ding Zhao
- NeurIPS 2024 poster
- Readers: Everyone
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding Zhao
- ICML 2024 Poster
- Readers: Everyone
Datasets and Benchmarks for Offline Safe Reinforcement Learning
Zuxin Liu, Zijian Guo, Haohong Lin, Yihang Yao, Jiacheng Zhu, Zhepeng Cen, Hanjiang Hu, Wenhao Yu, Tingnan Zhang, Jie Tan, Ding Zhao
- Accepted by DMLR
- Readers: Everyone
CCPO: Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
Yihang Yao, Zuxin Liu, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, Ding Zhao
- OOD Workshop @ CoRL 2023
- Readers: Everyone

View all 29 publications

Co-Authors

View all 56 co-authors