Selected Publications / Preprints (* Equal Contribution.)

Visual Whole-Body Control for Legged Loco-Manipulation
Minghuan Liu*, Zixuan Chen*, Xuxin Cheng, Yandong Ji, Ruihan Yang, Xiaolong Wang.
Arxiv. [paper] [project]

Vision-Language Foundation Models as Effective Robot Imitators
Xinghang Li*, Minghuan Liu*, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong.
The 12th International Conference on Learning Representations. ICLR 2024. (Spotlight). [paper] [code] [project]

Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Hongtao Wu, Ya Jing, Chilam Cheang, Guangzeng Chen, Jiafeng Xu, Xinghang Li, Minghuan Liu, Hang Li, Tao Kong.
The 12th International Conference on Learning Representations. ICLR 2024. [paper] [code] [project]

MADiff: Offline Multi-agent Learning with Diffusion Models
Zhengbang Zhu* Minghuan Liu*, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang.
In submission. Arxiv. [paper] [code]

Is Risk-Sensitive Reinforcement Learning Properly Resolved?
Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li.
In submission. Arxiv. [paper]

Visual Imitation with Patch Rewards
Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng YAN, Zhongwen Xu.
The 11th International Conference on Learning Representations. ICLR 2023. [paper] [code] [project]

PerfectDou: Dominating DouDizhu with Perfect Information Distillation
Yang Guan*, Minghuan Liu*, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin.
The 36th Conference on Neural Information Processing Systems, 2022. NeurIPS 2022. [paper] [code]

Reinforcement Learning with Automated Auxiliary Loss Search
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Dongsheng Li, Yuqing Yang.
The 36th Conference on Neural Information Processing Systems, 2022. NeurIPS 2022. [paper]

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang.
Thirty-ninth International Conference on Machine Learning. ICML 2022. [paper] [code] [project]

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li.
The 31st International Joint Conference on Artificial Intelligence. IJCAI 2022. [paper] [code]

Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu*, Menghui Zhu*, Weinan Zhang.
The 31st International Joint Conference on Artificial Intelligence. IJCAI 2022 (Survey track). [paper]

Curriculum Offline Imitation Learning
Minghuan Liu*, Hanye Zhao*, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu.
The 35th Conference on Neural Information Processing Systems, 2021. NeurIPS 2021. [paper] [code]

Learning to Build High-fidelity and Robust Environment Models
Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li.
The 20th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2021. ECML-PKDD 2021. [paper] [code]

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
Menghui Zhu*, Minghuan Liu*, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang.
The 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021. IJCAI 2021. [paper][code]

Energy-Based Imitation Learning
Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang.
The 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2021. AAMAS 2021. (Oral). [paper][code]

Multi-Agent Interactions Modeling with Correlated Policies
Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu.
The 8th International Conference on Learning Representations. ICLR 2020. [paper][code]