关注
Li Jiang
Li Jiang
在 mail.mcgill.ca 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Offline rl with no ood actions: In-sample learning via implicit value regularization
H Xu, L Jiang, J Li, Z Yang, Z Wang, VWK Chan, X Zhan
International Conference on Learning Representations (ICLR), 𝐍𝐨𝐭𝐚𝐛𝐥𝐞-𝐭𝐨𝐩-𝟓%, 2023
392023
A policy-guided imitation approach for offline reinforcement learning
H Xu*, L Jiang*, J Li, X Zhan
Advances in Neural Information Processing Systems (NeurIPS) 𝐎𝐫𝐚𝐥, 2022
262022
Time labeled visibility graph for privacy-preserved physiological time series classification
Y Xiu, X Ren, T Zhang, Y Chen, L Jiang, D Li, X Wang, L Zhao, WK Chan
2022 7th International Conference on Cloud Computing and Big Data Analytics …, 2022
92022
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
P Cheng, X Zhan, Z Wu, W Zhang, S Song, H Wang, Y Lin, L Jiang
Advances in Neural Information Processing Systems (NeurIPS), 2023
32023
Curriculum Goal-Conditioned Imitation for Offline Reinforcement Learning
L Jiang*, X Feng*, X Yu, H Xu, X Sun, J Wang, X Zhan, WKV Chan
IEEE Transactions on Games, 2022
12022
A deep learning framework for traffic data imputation considering spatiotemporal dependencies
L Jiang, T Zhang, Q Zuo, C Tian, GP Chan, WKV Chan
2022 IEEE 7th International Conference on Intelligent Transportation …, 2022
12022
MoReDrop: Dropout Without Dropping
D Li, L Jiang, Y Ding, X Liu, VWK Chan
2023
Plasticity-Driven Sparsity Training for Deep Reinforcement Learning
L Jiang, Y Ding, X Liu, X Zhan
2023
Offline Reinforcement Learning with Imbalanced Datasets
L Jiang, S Chen, J Qiu, H Xu, WK Chan, Z Ding
arXiv preprint arXiv:2307.02752, 2023
2023
An Efficient Multi-Agent Optimization Approach for Coordinated Massive MIMO Beamforming
L Jiang, X Wang, A Yang, X Wang, X Jin, W Wang, X Ye, Y Ouyang, ...
IEEE International Conference on Communications (ICC), 2023
2023
系统目前无法执行此操作,请稍后再试。
文章 1–10