Minghuan Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 38

Top Topics

Traveling Salesman

Perfect Information

Exploration Exploitation

Reinforcement Learning

Top Venues

Publications

Hongtao Wu, Ya Jing, Chilam Cheang, Guangzeng Chen, Jiafeng Xu, Xinghang Li, Minghuan Liu, Hang Li, Tao Kong
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation. ICLR (2024)
Hanye Zhao, Xiaoshen Han, Zhengbang Zhu, Minghuan Liu, Yong Yu, Weinan Zhang
Diffusion-based Dynamics Models for Long-Horizon Rollout in Offline Reinforcement Learning. CoRR (2024)
Minghuan Liu, Zixuan Chen, Xuxin Cheng, Yandong Ji, Ruihan Yang, Xiaolong Wang
Visual Whole-Body Control for Legged Loco-Manipulation. CoRR (2024)
Jingxiao Chen, Ziqin Gong, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. CoRR (2024)
Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong
Vision-Language Foundation Models as Effective Robot Imitators. ICLR (2024)
Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
Visual Imitation Learning with Patch Rewards. CoRR (2023)
Minghuan Liu, Tairan He, Weinan Zhang, Shuicheng Yan, Zhongwen Xu
Visual Imitation Learning with Patch Rewards. ICLR (2023)
Hongtao Wu, Ya Jing, Chilam Cheang, Guangzeng Chen, Jiafeng Xu, Xinghang Li, Minghuan Liu, Hang Li, Tao Kong
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation. CoRR (2023)
Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang
MADiff: Offline Multi-agent Learning with Diffusion Models. CoRR (2023)
Yunfeng Lin, Minghuan Liu, Yong Yu
D4W: Dependable Data-Driven Dynamics for Wheeled Robots. DAI (2023)
Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang
Adaptation Augmented Model-based Policy Optimization. J. Mach. Learn. Res. 24 (2023)
Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li
Is Risk-Sensitive Reinforcement Learning Properly Resolved? CoRR (2023)
Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong
Vision-Language Foundation Models as Effective Robot Imitators. CoRR (2023)
Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow. DAI (2023)
Guan Yang, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin
PerfectDou: Dominating DouDizhu with Perfect Information Distillation. NeurIPS (2022)
Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. CoRR (2022)
Yang Guan, Minghuan Liu, Weijun Hong, Weinan Zhang, Fei Fang, Guangjun Zeng, Yue Lin
PerfectDou: Dominating DouDizhu with Perfect Information Distillation. CoRR (2022)
Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun
Generative Adversarial Exploration for Reinforcement Learning. CoRR (2022)
Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. CoRR (2022)
Minghuan Liu, Menghui Zhu, Weinan Zhang
Goal-Conditioned Reinforcement Learning: Problems and Solutions. CoRR (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI (2022)
Minghuan Liu, Menghui Zhu, Weinan Zhang
Goal-Conditioned Reinforcement Learning: Problems and Solutions. IJCAI (2022)
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
Reinforcement Learning with Automated Auxiliary Loss Search. CoRR (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR (2022)
Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. CoRR (2022)
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
Reinforcement Learning with Automated Auxiliary Loss Search. NeurIPS (2022)
Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. ICML (2022)
Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
Curriculum Offline Imitating Learning. NeurIPS (2021)
Weinan Zhang, Zhengyu Yang, Jian Shen, Minghuan Liu, Yimin Huang, Xing Zhang, Ruiming Tang, Zhenguo Li
Learning to Build High-Fidelity and Robust Environment Models. ECML/PKDD (1) (2021)
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI (2021)
Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang
Energy-Based Imitation Learning. AAMAS (2021)
Minghuan Liu, Hanye Zhao, Zhengyu Yang, Jian Shen, Weinan Zhang, Li Zhao, Tie-Yan Liu
Curriculum Offline Imitation Learning. CoRR (2021)
Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR (2021)
Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
Multi-Agent Interactions Modeling with Correlated Policies. ICLR (2020)
Minghuan Liu, Tairan He, Minkai Xu, Weinan Zhang
Energy-Based Imitation Learning. CoRR (2020)
Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu
Multi-Agent Interactions Modeling with Correlated Policies. CoRR (2020)
Qiufeng Wang, Minghuan Liu, Weijia Zhang, Yuhang Guo, Tianrui Li
Automatic Proofreading in Chinese: Detect and Correct Spelling Errors in Character-Level with Deep Neural Networks. NLPCC (2) (2019)
Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun
Generative adversarial exploration for reinforcement learning. DAI (2019)