Wu, Chengjie

9 publications

ICLR 2026 OPRIDE: Efficient Offline Preference-Based Reinforcement Learning via In-Dataset Exploration Yiqin Yang, Hao Hu, Yihuan Mao, Jin Zhang, Chengjie Wu, Yuhua Jiang, Xu Yang, Runpeng Xie, Yi Fan, Bo Liu, Yang Gao, Bo Xu, Chongjie Zhang

ICLR 2025 Fewer May Be Better: Enhancing Offline Reinforcement Learning with Reduced Dataset Yiqin Yang, Quanwei Wang, Chenghao Li, Hao Hu, Chengjie Wu, Yuhua Jiang, Dianyu Zhong, Ziyou Zhang, Qianchuan Zhao, Chongjie Zhang, Bo Xu

ICML 2024 Bayesian Design Principles for Offline-to-Online Reinforcement Learning Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang

ICML 2024 Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners Chengjie Wu, Hao Hu, Yiqin Yang, Ning Zhang, Chongjie Zhang

ICLR 2024 Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang

NeurIPS 2023 Conservative Offline Policy Adaptation in Multi-Agent Games Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang

NeurIPS 2022 Safe Opponent-Exploitation Subgame Refinement Mingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang

ICLRW 2022 Safe Opponent-Exploitation Subgame Refinement Mingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang

NeurIPS 2021 Celebrating Diversity in Shared Multi-Agent Reinforcement Learning Chenghao Li, Tonghan Wang, Chengjie Wu, Qianchuan Zhao, Jun Yang, Chongjie Zhang