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Junyin Ye
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2020 – today
- 2024
- [c5]Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye, Yang Yu:
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward. AAAI 2024: 13808-13816 - [c4]Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu:
Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation. ICLR 2024 - [c3]Xingchen Cao, Fan-Ming Luo, Junyin Ye, Tian Xu, Zhilong Zhang, Yang Yu:
Limited Preference Aided Imitation Learning from Imperfect Demonstrations. ICML 2024 - [c2]Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, XuHui Liu, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Yang Yu, Anqi Huang, Kai Xu, Zongzhang Zhang:
Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration. ICML 2024 - [i3]Haoxin Lin, Yu-Yan Xu, Yihao Sun, Zhilong Zhang, Yi-Chen Li, Chengxing Jia, Junyin Ye, Jiaji Zhang, Yang Yu:
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning. CoRR abs/2405.17031 (2024) - 2023
- [c1]Yihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, Yang Yu:
Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning. ICML 2023: 33177-33194 - [i2]Xiong-Hui Chen, Junyin Ye, Hang Zhao, Yi-Chen Li, Haoran Shi, Yu-Yan Xu, Zhihao Ye, Si-Hang Yang, Anqi Huang, Kai Xu, Zongzhang Zhang, Yang Yu:
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments. CoRR abs/2310.05712 (2023) - [i1]Haoxin Lin, Hongqiu Wu, Jiaji Zhang, Yihao Sun, Junyin Ye, Yang Yu:
Episodic Return Decomposition by Difference of Implicitly Assigned Sub-Trajectory Reward. CoRR abs/2312.10642 (2023)
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