Ye, Junyin

6 publications

ICLR 2025 Any-Step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu

ICML 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Xu-Hui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang

AAAI 2024 Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye, Yang Yu

ICLR 2024 Flow to Better: Offline Preference-Based Reinforcement Learning via Preferred Trajectory Generation Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu

ICML 2024 Limited Preference Aided Imitation Learning from Imperfect Demonstrations Xingchen Cao, Fan-Ming Luo, Junyin Ye, Tian Xu, Zhilong Zhang, Yang Yu

ICML 2023 Model-Bellman Inconsistency for Model-Based Offline Reinforcement Learning Yihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, Yang Yu