Minghuan Liu
Minghuan Liu
Other names刘 明桓
Verified email at - Homepage
Cited by
Cited by
Goal-Conditioned Reinforcement Learning: Problems and Solutions
M Liu, M Zhu, W Zhang
IJCAI-ECAI 2022 (Survey Track), 2022
Energy-Based Imitation Learning
M Liu, T He, M Xu, W Zhang
AAMAS 2021, 2020
Curriculum Offline Imitation Learning
M Liu*, H Zhao*, Z Yang, J Shen, W Zhang, L Zhao, TY Liu
NeurIPS 2021, 2021
Multi-Agent Interactions Modeling with Correlated Policies
M Liu, M Zhou, W Zhang, Y Zhuang, J Wang, W Liu, Y Yu
ICLR 2020, 2020
PerfectDou: Dominating DouDizhu with Perfect Information Distillation
G Yang*, M Liu*, W Hong, W Zhang, F Fang, G Zeng, Y Lin
NeurIPS 2022, 2022
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
Vision-Language Foundation Models as Effective Robot Imitators
X Li*, M Liu*, H Zhang, C Yu, J Xu, H Wu, C Cheang, Y Jing, W Zhang, ...
ICLR 2024, 2023
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
H Wu, Y Jing, C Cheang, G Chen, J Xu, X Li, M Liu, H Li, T Kong
ICLR 2024, 2023
MADiff: Offline Multi-agent Learning with Diffusion Models
Z Zhu*, M Liu*, L Mao, B Kang, M Xu, Y Yu, S Ermon, W Zhang
arXiv preprint arXiv:2305.17330, 2023
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
Reinforcement Learning with Automated Auxiliary Loss Search
T He, Y Zhang, K Ren, M Liu, C Wang, W Zhang, Y Yang, D Li
NeurIPS 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
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
Visual Imitation Learning with Patch Rewards
M Liu, T He, W Zhang, YAN Shuicheng, Z Xu
ICLR 2023, 2023
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
Visual whole-body control for legged loco-manipulation
M Liu, Z Chen, X Cheng, Y Ji, R Yang, X Wang
arXiv preprint arXiv:2403.16967, 2024
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow
Z Zhu, S Zhang, Y Zhuang, Y Liu, M Liu, Z Gong, S Kai, Q Gu, B Wang, ...
The Fifth International Conference on Distributed Artificial Intelligence, 1-10, 2023
Is Risk-Sensitive Reinforcement Learning Properly Resolved?
R Zhou, M Liu, K Ren, X Luo, W Zhang, D Li
arXiv preprint arXiv:2307.00547, 2023
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem
J Chen, Z Gong, M Liu, J Wang, Y Yu, W Zhang
arXiv preprint arXiv:2403.05318, 2024
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