Zifeng Zhuang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 20

Top Topics

Upper Confidence Bound

Reinforcement Learning

Joint Optimization

Top Venues

Publications

Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. AAAI (2024)
Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation. CoRR (2024)
Ziqi Zhang, Zifeng Zhuang, Donglin Wang, Jingzehua Xu, Miao Liu, Shuai Zhang
ADR-BC: Adversarial Density Weighted Regression Behavior Cloning. CoRR (2024)
Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang
Context-Former: Stitching via Latent Conditioned Sequence Modeling. CoRR (2024)
Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang
Reinformer: Max-Return Sequence Modeling for Offline RL. CoRR (2024)
Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
CEIL: Generalized Contextual Imitation Learning. CoRR (2023)
Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo
Behavior Proximal Policy Optimization. ICLR (2023)
Ziqi Zhang, Xiao Xiong, Zifeng Zhuang, Jinxin Liu, Donglin Wang
SERA: Sample Efficient Reward Augmentation in offline-to-online Reinforcement Learning. CoRR (2023)
Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. NeurIPS (2023)
Yachen Kang, Li He, Jinxin Liu, Zifeng Zhuang, Donglin Wang
STRAPPER: Preference-based Reinforcement Learning via Self-training Augmentation and Peer Regularization. CoRR (2023)
Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu
CEIL: Generalized Contextual Imitation Learning. NeurIPS (2023)
Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang
Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning. CoRR (2023)
Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang
Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization. CoRR (2023)
Min Zhang, Zifeng Zhuang, Zhitao Wang, Donglin Wang, Wenbin Li
RotoGBML: Towards Out-of-Distribution Generalization for Gradient-Based Meta-Learning. CoRR (2023)
Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo
Behavior Proximal Policy Optimization. CoRR (2023)
Ziqi Zhang, Jingzehua Xu, Zifeng Zhuang, Jinxin Liu, Donglin Wang
Adaptive Proximal Policy Optimization with Upper Confidence Bound. CoRR (2023)
Hongyin Zhang, Diyuan Shi, Zifeng Zhuang, Han Zhao, Zhenyu Wei, Feng Zhao, Sibo Gai, Shangke Lyu, Donglin Wang
RSG: Fast Learning Adaptive Skills for Quadruped Robots by Skill Graph. CoRR (2023)
Yi-Horng Lai, Jiahan Yu, Kun Su, Lin Lan, Zexin Li, Zequn Zhang, Zifeng Zhuang
The Continuous Time Dynamical Analysis of Heart Rate Asymmetry. CECNet (2022)
Zifeng Zhuang, Xintao Xiang, Siteng Huang, Donglin Wang
HINFShot: A Challenge Dataset for Few-Shot Node Classification in Heterogeneous Information Network. ICMR (2021)
Tiancheng Huang, Zifeng Zhuang, Shanshan Zhang, Donglin Wang
Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network. CIKM (2020)