Liu, Jinyi

16 publications

NeurIPS 2025 Improving Reward Models with Proximal Policy Exploration for Preference-Based Reinforcement Learning Yiwen Zhu, Jinyi Liu, Pengjie Gu, Yifu Yuan, Zhenxing Ge, Wenya Wei, Zhou Fang, Yujing Hu, Bo An

AAAI 2025 M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity Tianxu Lv, Jie Zhu, Jinyi Liu, Shiyun Nie, Hongnian Tian, Yang Xiao, Yuan Liu, Lihua Li, Xiang Pan

ICCV 2025 RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-Horizon Robot Demonstration Longxin Kou, Fei Ni, Yan Zheng, Peilong Han, Jinyi Liu, Haiqin Cui, Rui Liu, Jianye Hao

IJCAI 2024 ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai Zhao, Jianye Hao, Yi Ma, Jinyi Liu, Yan Zheng, Zhaopeng Meng

ICML 2024 KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations Longxin Kou, Fei Ni, Yan Zheng, Jinyi Liu, Yifu Yuan, Zibin Dong, Jianye Hao

AAAI 2024 OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Chenjia Bai, Junjie Ye, Zhen Wang, Haiyin Piao, Yang Sun

NeurIPSW 2024 Optimizing Reward Models with Proximal Policy Exploration in Preference-Based Reinforcement Learning Yiwen Zhu, Jinyi Liu, Yifu Yuan, Wenya Wei, Zhenxing Ge, Qianyi Fu, Zhou Fang, Yujing Hu, Bo An

NeurIPS 2024 PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation Fei Ni, Jianye Hao, Shiguang Wu, Longxin Kou, Yifu Yuan, Zibin Dong, Jinyi Liu, Mingzhi Li, Yuzheng Zhuang, Yan Zheng

ICMLW 2024 SheetAgent: A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models Yibin Chen, Yifu Yuan, Zeyu Zhang, Yan Zheng, Jinyi Liu, Fei Ni, Jianye Hao

ICLR 2024 Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback Yifu Yuan, Jianye Hao, Yi Ma, Zibin Dong, Hebin Liang, Jinyi Liu, Zhixin Feng, Kai Zhao, Yan Zheng

IJCAI 2024 vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement Yiwen Zhu, Jinyi Liu, Wenya Wei, Qianyi Fu, Yujing Hu, Zhou Fang, Bo An, Jianye Hao, Tangjie Lv, Changjie Fan

ICMLW 2023 A Policy-Decoupled Method for High-Quality Data Augmentation in Offline Reinforcement Learning Shixi Lian, Yi Ma, Jinyi Liu, Jianye Hao, Yan Zheng, Zhaopeng Meng

ICLR 2023 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-Choice Dynamics Model Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

ICMLW 2023 Improving Offline-to-Online Reinforcement Learning with Q-Ensembles Kai Zhao, Yi Ma, Jinyi Liu, Jianye Hao, Yan Zheng, Zhaopeng Meng

NeurIPSW 2022 EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-Choice Dynamics Model Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

NeurIPSW 2021 OVD-Explorer: A General Information-Theoretic Exploration Approach for Reinforcement Learning Jinyi Liu, Zhi Wang, Yan Zheng, Jianye Hao, Junjie Ye, Chenjia Bai, Pengyi Li