Zhuang, Zifeng

9 publications

NeurIPS 2025 Boundary-to-Region Supervision for Offline Safe Reinforcement Learning Huikang Su, Dengyun Peng, Zifeng Zhuang, YuHan Liu, Qiguang Chen, Donglin Wang, Qinghe Liu

ICML 2025 ReinboT: Amplifying Robot Visual-Language Manipulation with Reinforcement Learning Hongyin Zhang, Zifeng Zhuang, Han Zhao, Pengxiang Ding, Hongchao Lu, Donglin Wang

ICML 2025 Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning Huaicheng Zhou, Zifeng Zhuang, Donglin Wang

AAAI 2024 Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning Jinxin Liu, Ziqi Zhang, Zhenyu Wei, Zifeng Zhuang, Yachen Kang, Sibo Gai, Donglin Wang

ICML 2024 DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation Jinxin Liu, Xinghong Guo, Zifeng Zhuang, Donglin Wang

ICML 2024 Reinformer: Max-Return Sequence Modeling for Offline RL Zifeng Zhuang, Dengyun Peng, Jinxin Liu, Ziqi Zhang, Donglin Wang

ICLR 2023 Behavior Proximal Policy Optimization Zifeng Zhuang, Kun Lei, Jinxin Liu, Donglin Wang, Yilang Guo

NeurIPS 2023 CEIL: Generalized Contextual Imitation Learning Jinxin Liu, Li He, Yachen Kang, Zifeng Zhuang, Donglin Wang, Huazhe Xu

NeurIPS 2023 Design from Policies: Conservative Test-Time Adaptation for Offline Policy Optimization Jinxin Liu, Hongyin Zhang, Zifeng Zhuang, Yachen Kang, Donglin Wang, Bin Wang