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ORCIDLi Jiang 0008
Person information
- affiliation: Tsinghua University, Tsinghua-Berkeley Shenzhen Institute, TBSI, China
Other persons with the same name
- Li Jiang — disambiguation page
- Li Jiang 0001
![[0000-0003-1740-5525]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1740-5525")
— Harbin Institute of Technology, State Key Laboratory of Robotics and System, China - Li Jiang 0002 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China (and 1 more)
- Li Jiang 0003 — Hong Kong Polytechnic University, Department of Logistics and Maritime Studies, Hong Kong (and 1 more)
- Li Jiang 0004 — Nanjing Agricultural University, Jiangsu Key Laboratory for Information Agriculture, China
- Li Jiang 0005 — Guangdong University of Technology, School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China (and 1 more)
- Li Jiang 0006 — Joint Operations Division, Canberra, Australia (and 2 more)
- Li Jiang 0007 — Robert Bosch LLC, Department of Gasoline System Engineering, Farmington Hills, MI, USA
- Li Jiang 0009 — Chinese University of Hong Kong, Shenzhen, China (and 2 more)
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2020 – today
- 2024
[j1]Xiaoyun Feng, Li Jiang, Xudong Yu, Haoran Xu, Xiaoyan Sun, Jie Wang, Xianyuan Zhan, Wai Kin Chan:
Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning. IEEE Trans. Games 16(1): 102-112 (2024)- 2023
- [c5]Li Jiang, Xiangsen Wang, Aidong Yang, Xidong Wang, Xiaojia Jin, Wei Wang, Xiaozhou Ye, Ye Ouyang, Xianyuan Zhan:
An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming. ICC 2023: 5632-5638 - [c4]Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan:
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. ICLR 2023 - [c3]Peng Cheng, Xianyuan Zhan, Zhi-Hao Wu, Wenjia Zhang, Youfang Lin, Shoucheng Song, Han Wang, Li Jiang:
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL. NeurIPS 2023 - [i5]Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Kin Victor Chan, Xianyuan Zhan:
Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization. CoRR abs/2303.15810 (2023) - [i4]Li Jiang, Ting Zhang, Qiruyi Zuo, Chenyu Tian, George P. Chan, Wai Kin Chan:
A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies. CoRR abs/2304.09182 (2023) - [i3]Peng Cheng, Xianyuan Zhan, Zhihao Wu, Wenjia Zhang, Shoucheng Song, Han Wang, Youfang Lin, Li Jiang:
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL. CoRR abs/2306.04220 (2023) - [i2]Li Jiang, Sijie Chen, Jielin Qiu, Haoran Xu, Wai Kin Chan, Zhao Ding:
Offline Reinforcement Learning with Imbalanced Datasets. CoRR abs/2307.02752 (2023) - 2022
- [c2]Li Jiang, Ting Zhang, Qiruyi Zuo, Chenyu Tian, George P. Chan, Wai Kin Victor Chan:
A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies. ICITE 2022: 14-19 - [c1]Haoran Xu, Li Jiang, Jianxiong Li, Xianyuan Zhan:
A Policy-Guided Imitation Approach for Offline Reinforcement Learning. NeurIPS 2022 - [i1]Haoran Xu, Li Jiang, Jianxiong Li, Xianyuan Zhan:
A Policy-Guided Imitation Approach for Offline Reinforcement Learning. CoRR abs/2210.08323 (2022)
Coauthor Index
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