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Wenzhang Liu
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2020 – today
- 2024
- [j4]Kun Jiang
, Wenzhang Liu
Discovering Latent Variables for the Tasks With Confounders in Multi-Agent Reinforcement Learning. IEEE CAA J. Autom. Sinica 11(7): 1591-1604 (2024) - 2023
- [j3]Kun Jiang, Wenzhang Liu, Yuanda Wang, Lu Dong, Changyin Sun
Credit assignment in heterogeneous multi-agent reinforcement learning for fully cooperative tasks. Appl. Intell. 53(23): 29205-29222 (2023) - [i1]Wenzhang Liu, Wenzhe Cai, Kun Jiang, Guangran Cheng, Yuanda Wang, Jiawei Wang, Jingyu Cao, Lele Xu, Chaoxu Mu, Changyin Sun:
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library. CoRR abs/2312.16248 (2023) - 2022
- [j2]Wenzhang Liu, Lu Dong, Dan Niu, Changyin Sun:
Efficient Exploration for Multi-Agent Reinforcement Learning via Transferable Successor Features. IEEE CAA J. Autom. Sinica 9(9): 1673-1686 (2022) - 2021
- [j1]Changyin Sun
Reinforcement Learning With Task Decomposition for Cooperative Multiagent Systems. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2054-2065 (2021)
2010 – 2019
- 2018
- [c1]Wenzhang Liu, Haiqin Yang, Yuewen Sun, Changyin Sun:
A Broad Neural Network Structure for Class Incremental Learning. ISNN 2018: 229-238
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