Li Jiang

A Policy-Guided Imitation Approach for Offline Reinforcement Learning

Xianyuan Zhan, Haoran Xu, Jianxiong Li, 2022, ArXiv.

A Policy-Guided Imitation Approach for Offline Reinforcement Learning

Xianyuan Zhan, Haoran Xu, Jianxiong Li, 2022, NeurIPS.

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Zhuoran Yang, Zhaoran Wang, Xianyuan Zhan, 2023, ICLR.

MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying

B. Schiele, Dengxin Dai, Shaoshuai Shi, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies

Li Jiang, Ting Zhang, Chenyu Tian, 2022, 2022 IEEE 7th International Conference on Intelligent Transportation Engineering (ICITE).

Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning

Xianyuan Zhan, Haoran Xu, Xiaoyun Feng, 2022, IEEE Transactions on Games.

Offline Reinforcement Learning with Imbalanced Datasets

Haoran Xu, Si-An Chen, Li Jiang, 2023, arXiv.org.

Offline Reinforcement Learning with Imbalanced Datasets

Haoran Xu, Li Jiang, Sijie Cheng, 2023, ArXiv.