Li Jiang

According to our database, Li Jiang authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning.

Xiaoyun Feng, Li Jiang, Xudong Yu, Haoran Xu, Xiaoyan Sun, Jie Wang, Xianyuan Zhan, Wai Kin Chan

IEEE Trans. Games, March, 2024

Are Expressive Models Truly Necessary for Offline RL?

Guan Wang, Haoyi Niu, Jianxiong Li, Li Jiang, Jianming Hu, Xianyuan Zhan

CoRR, 2024

2023

Offline Reinforcement Learning with Imbalanced Datasets.

Li Jiang, Sijie Chen, Jielin Qiu, Haoran Xu, Wai Kin Chan, Zhao Ding

CoRR, 2023

Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL.

Peng Cheng, Xianyuan Zhan, Zhi-Hao Wu, Wenjia Zhang, Youfang Lin, Shoucheng Song, Han Wang, Li Jiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming.

Li Jiang, Xiangsen Wang, Aidong Yang, Xidong Wang, Xiaojia Jin, Wei Wang, Xiaozhou Ye, Ye Ouyang, Xianyuan Zhan

Proceedings of the IEEE International Conference on Communications, 2023

2022

A Policy-Guided Imitation Approach for Offline Reinforcement Learning.

Haoran Xu, Li Jiang, Jianxiong Li, Xianyuan Zhan

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies.

Li Jiang, Ting Zhang, Qiruyi Zuo, Chenyu Tian, George P. Chan, Wai Kin Victor Chan

Proceedings of the 7th IEEE International Conference on Intelligent Transportation Engineering, 2022