Zhou, Zhiyuan

11 publications

CoRL 2025 AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World Zhiyuan Zhou, Pranav Atreya, You Liang Tan, Karl Pertsch, Sergey Levine
ICLRW 2025 AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World Zhiyuan Zhou, Pranav Atreya, You Liang Tan, Karl Pertsch, Sergey Levine
ICML 2025 Behavioral Exploration: Learning to Explore via In-Context Adaptation Andrew Wagenmaker, Zhiyuan Zhou, Sergey Levine
NeurIPS 2025 Compute-Optimal Scaling for Value-Based Deep RL Preston Fu, Oleh Rybkin, Zhiyuan Zhou, Michal Nauman, Pieter Abbeel, Sergey Levine, Aviral Kumar
ICLR 2025 Efficient Online Reinforcement Learning Fine-Tuning Need Not Retain Offline Data Zhiyuan Zhou, Andy Peng, Qiyang Li, Sergey Levine, Aviral Kumar
NeurIPS 2025 Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-Ligand Complex and Union of Multiple Pockets Zhiyuan Zhou, Yueming Yin, Yiming Yang, Yuguang Mu, Hoi-Yeung Li, Adams Wai-Kin Kong
NeurIPS 2025 Learning Spatial-Aware Manipulation Ordering Yuxiang Yan, Zhiyuan Zhou, Xin Gao, Guanghao Li, Shenglin Li, Jiaqi Chen, Qunyan Pu, Jian Pu
ICML 2025 On Path to Multimodal Generalist: General-Level and General-Bench Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang
NeurIPS 2025 Reinforcement Learning with Action Chunking Qiyang Li, Zhiyuan Zhou, Sergey Levine
CoRL 2024 Autonomous Improvement of Instruction Following Skills via Foundation Models Zhiyuan Zhou, Pranav Atreya, Abraham Lee, Homer Rich Walke, Oier Mees, Sergey Levine
ICMLW 2023 Specifying Behavior Preference with Tiered Reward Functions Zhiyuan Zhou, Henry Sowerby, Michael Littman