Liu, Minghuan

20 publications

CVPR 2025 Prompting Depth Anything for 4k Resolution Accurate Metric Depth Estimation Haotong Lin, Sida Peng, Jingxiao Chen, Songyou Peng, Jiaming Sun, Minghuan Liu, Hujun Bao, Jiashi Feng, Xiaowei Zhou, Bingyi Kang

CoRL 2024 ACE: A Cross-Platform and Visual-Exoskeletons System for Low-Cost Dexterous Teleoperation Shiqi Yang, Minghuan Liu, Yuzhe Qin, Runyu Ding, Jialong Li, Xuxin Cheng, Ruihan Yang, Sha Yi, Xiaolong Wang

CoRL 2024 GenSim2: Scaling Robot Data Generation with Multi-Modal and Reasoning LLMs Pu Hua, Minghuan Liu, Annabella Macaluso, Yunfeng Lin, Weinan Zhang, Huazhe Xu, Lirui Wang

NeurIPS 2024 MADiff: Offline Multi-Agent Learning with Diffusion Models Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang

ICLR 2024 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

ICLR 2024 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

CoRL 2024 Visual Whole-Body Control for Legged Loco-Manipulation Minghuan Liu, Zixuan Chen, Xuxin Cheng, Yandong Ji, Ri-Zhao Qiu, Ruihan Yang, Xiaolong Wang

JMLR 2023 Adaptation Augmented Model-Based Policy Optimization Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang

ICLR 2023 Visual Imitation Learning with Patch Rewards Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu

IJCAI 2022 Goal-Conditioned Reinforcement Learning: Problems and Solutions Minghuan Liu, Menghui Zhu, Weinan Zhang

NeurIPS 2022 PerfectDou: Dominating DouDizhu with Perfect Information Distillation Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin

ICML 2022 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

NeurIPSW 2022 Planning Immediate Landmarks of Targets for Model-Free Skill Transfer Across Agents Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao

NeurIPS 2022 Reinforcement Learning with Automated Auxiliary Loss Search Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li

IJCAI 2022 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

NeurIPSW 2022 Visual Imitation Learning with Patch Rewards Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu

NeurIPS 2021 Curriculum Offline Imitating Learning Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu

ECML-PKDD 2021 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

IJCAI 2021 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

ICLR 2020 Multi-Agent Interactions Modeling with Correlated Policies Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu