Minghuan Liu (刘明桓)
Minghuan Liu (刘明桓)
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Energy-Based Imitation Learning
M Liu, T He, M Xu, W Zhang
AAMAS 2021, 2020
Multi-Agent Interactions Modeling with Correlated Policies
M Liu, M Zhou, W Zhang, Y Zhuang, J Wang, W Liu, Y Yu
ICLR 2020, 2020
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
M Zhu*, M Liu*, J Shen, Z Zhang, S Chen, W Zhang, D Ye, Y Yu, Q Fu, ...
IJCAI 2021, 2021
Curriculum Offline Imitation Learning
M Liu, H Zhao, Z Yang, J Shen, W Zhang, L Zhao, TY Liu
NeurIPS 2021, 2021
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
G Yang*, M Liu*, W Hong, W Zhang, F Fang, G Zeng, Y Lin
arXiv preprint arXiv:2203.16406, 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
M Liu, M Zhu, W Zhang
IJCAI-ECAI 2022 (Survey Track), 2022
Learning to Build High-fidelity and Robust Environment Models
W Zhang, Z Yang, J Shen, M Liu, Y Huang, X Zhang, R Tang, Z Li
ECML-PKDD 2021, 2021
Generative adversarial exploration for reinforcement learning
W Hong, M Zhu, M Liu, W Zhang, M Zhou, Y Yu, P Sun
DAI 2019, 2019
Automatic proofreading in chinese: detect and correct spelling errors in character-level with deep neural networks
Q Wang, M Liu, W Zhang, Y Guo, T Li
NLPCC 2019, 349-359, 2019
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Z Yang, K Ren, X Luo, M Liu, W Liu, J Bian, W Zhang, D Li
IJCAI-ECAI 2022, 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
M Liu, Z Zhu, Y Zhuang, W Zhang, J Hao, Y Yu, J Wang
ICML 2022, 2022
Multi-Modal Imitation Learning in Partially Observable Environments
Z Fu, M Liu, M Zhou, W Zhang
Preprint, 2020
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