Yao Mu

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 50

Top Topics

Dependency Graph

Reinforcement Learning

Directed Acyclic

Diffusion Models

Top Venues

Publications

Yuwei Zeng, Yao Mu, Lin Shao
Learning Reward for Robot Skills Using Large Language Models via Self-Alignment. CoRR (2024)
Junting Chen, Yao Mu, Qiaojun Yu, Tianming Wei, Silang Wu, Zhecheng Yuan, Zhixuan Liang, Chao Yang, Kaipeng Zhang, Wenqi Shao, Yu Qiao, Huazhe Xu, Mingyu Ding, Ping Luo
RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation. CoRR (2024)
Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun
Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Yao Mu, Junting Chen, Qinglong Zhang, Shoufa Chen, Qiaojun Yu, Chongjian Ge, Runjian Chen, Zhixuan Liang, Mengkang Hu, Chaofan Tao, Peize Sun, Haibao Yu, Chao Yang, Wenqi Shao, Wenhai Wang, Jifeng Dai, Yu Qiao, Mingyu Ding, Ping Luo
RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis. CoRR (2024)
Qiaojun Yu, Ce Hao, Junbo Wang, Wenhai Liu, Liu Liu, Yao Mu, Yang You, Hengxu Yan, Cewu Lu
ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics. CoRR (2024)
Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu
VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model. CoRR (2024)
Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu
DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments. CoRR (2024)
Zeyu Gao, Yao Mu, Jinye Qu, Mengkang Hu, Lingyue Guo, Ping Luo, Yanfeng Lu
DAG-Plan: Generating Directed Acyclic Dependency Graphs for Dual-Arm Cooperative Planning. CoRR (2024)
Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. CoRR (2023)
Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model. CoRR (2023)
Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan
EC^2: Emergent Communication for Embodied Control. CoRR (2023)
Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. ICML (2023)
Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought. NeurIPS (2023)
Mingxiao Huo, Mingyu Ding, Chenfeng Xu, Thomas Tian, Xinghao Zhu, Yao Mu, Lingfeng Sun, Masayoshi Tomizuka, Wei Zhan
Human-oriented Representation Learning for Robotic Manipulation. CoRR (2023)
Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. ICLR (2023)
Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
Tree-Planner: Efficient Close-loop Task Planning with Large Language Models. CoRR (2023)
Hao Sha, Yao Mu, Yuxuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, Mingyu Ding
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving. CoRR (2023)
Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought. CoRR (2023)
Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo
CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. ICLR (2023)
Jia Liu, Gang Wan, Shuai Wang, Panke Deng, Zhijuan Su, Chu Li, Yao Mu, Yunxia Yin
Visually Enhanced Parallel Coordinates Plot With Two-Dimensional Kernel Density Scatter Plots. IEEE Access 11 (2023)
Yao Mu, Zhiqian Lan, Chen Chen, Chang Liu, Ping Luo, Shengbo Eben Li
Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout. ITSC (2023)
Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo
SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution. CoRR (2023)
Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL. ICML (2023)
Jia Liu, Gang Wan, Panke Deng, Chu Li, Shuai Wang, Yunxia Yin, Lei Liu, Yao Mu
DPVis: Automatic Visual Encoding Based on Deep Learning. IEEE Access 11 (2023)
Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan
: Emergent Communication for Embodied Control. CVPR (2023)
Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo
AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners. CoRR (2023)
Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo
Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. CoRR (2022)
Wenfu Yang, Yao Mu, Wenkai Zhang, Wenwen Wang, Jin Liu, Junhuan Peng, Xiaosong Liu, Tingting He
Assessment of Ecological Cumulative Effect due to Mining Disturbance Using Google Earth Engine. Remote. Sens. 14 (17) (2022)
Yao Lai, Yao Mu, Ping Luo
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning. CoRR (2022)
Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CVPR (2022)
Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. CoRR (2022)
Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo
DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning. NeurIPS (2022)
Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo
Scale-Equivalent Distillation for Semi-Supervised Object Detection. CoRR (2022)
Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, Yanfeng Lu
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model. CoRR (2022)
Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model. CoRR (2022)
Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning. CoRR (2022)
Yao Mu, Shoufa Chen, Mingyu Ding, Jianyu Chen, Runjian Chen, Ping Luo
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer. CoRR (2022)
Yao Lai, Yao Mu, Ping Luo
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning. NeurIPS (2022)
Xiaoyu Chen, Yao Mu, Ping Luo, Shengbo Li, Jianyu Chen
Flow-based Recurrent Belief State Learning for POMDPs. CoRR (2022)
Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning. IJCAI (2022)
Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo
CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving. CoRR (2022)
Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. CoRR (2021)
Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen
Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning. IV (2021)
Yuhang Zhang, Yao Mu, Yujie Yang, Yang Guan, Shengbo Eben Li, Qi Sun, Jianyu Chen
Steadily Learn to Drive with Virtual Memory. CoRR (2021)
Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao
Model-Based Reinforcement Learning via Imagination with Derived Memory. NeurIPS (2021)
Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen
Model-Based Actor-Critic with Chance Constraint for Stochastic System. CDC (2021)
Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun
Model-based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian. CoRR (2021)
Liyang Wang, Yao Mu, Jing Zhao, Xiaoya Wang, Huilian Che
IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms. Sensors 20 (9) (2020)
Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng
Mixed Reinforcement Learning with Additive Stochastic Uncertainty. CoRR (2020)
Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen
Model-Based Actor-Critic with Chance Constraint for Stochastic System. CoRR (2020)