Yao Mu

According to our database, Yao Mu authored at least 37 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model-Based Chance-Constrained Reinforcement Learning via Separated Proportional-Integral Lagrangian.

Baiyu Peng, Jingliang Duan, Jianyu Chen, Shengbo Eben Li, Genjin Xie, Congsheng Zhang, Yang Guan, Yao Mu, Enxin Sun

IEEE Trans. Neural Networks Learn. Syst., January, 2024

ManiPose: A Comprehensive Benchmark for Pose-aware Object Manipulation in Robotics.

Qiaojun Yu, Ce Hao, Junbo Wang, Wenhai Liu, Liu Liu, Yao Mu, Yang You, Hengxu Yan, Cewu Lu

CoRR, 2024

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments.

Ji Ma, Hongming Dai, Yao Mu, Pengying Wu, Hao Wang, Xiaowei Chi, Yang Fei, Shanghang Zhang, Chang Liu

CoRR, 2024

RoboCodeX: Multimodal Code Generation for Robotic Behavior Synthesis.

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

CoRR, 2024

RoboScript: Code Generation for Free-Form Manipulation Tasks across Real and Simulation.

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

CoRR, 2024

VoroNav: Voronoi-based Zero-shot Object Navigation with Large Language Model.

Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu

CoRR, 2024

2023

SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution.

Zhixuan Liang, Yao Mu, Hengbo Ma, Masayoshi Tomizuka, Mingyu Ding, Ping Luo

CoRR, 2023

Tree-Planner: Efficient Close-loop Task Planning with Large Language Models.

Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo

CoRR, 2023

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.

Hao Sha, Yao Mu, Yuxuan Jiang, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, Mingyu Ding

CoRR, 2023

Human-oriented Representation Learning for Robotic Manipulation.

Mingxiao Huo, Mingyu Ding, Chenfeng Xu, Thomas Tian, Xinghao Zhu, Yao Mu, Lingfeng Sun, Masayoshi Tomizuka, Wei Zhan

CoRR, 2023

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model.

Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Tangjie Lv, Changjie Fan, Zhipeng Hu

CoRR, 2023

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL.

Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang

CoRR, 2023

EC^2: Emergent Communication for Embodied Control.

Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan

CoRR, 2023

Visually Enhanced Parallel Coordinates Plot With Two-Dimensional Kernel Density Scatter Plots.

Jia Liu, Gang Wan, Shuai Wang, Panke Deng, Zhijuan Su, Chu Li, Yao Mu, Yunxia Yin

IEEE Access, 2023

DPVis: Automatic Visual Encoding Based on Deep Learning.

Jia Liu, Gang Wan, Panke Deng, Chu Li, Shuai Wang, Yunxia Yin, Lei Liu, Yao Mu

IEEE Access, 2023

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought.

Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding, Jun Jin, Bin Wang, Jifeng Dai, Yu Qiao, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout.

Yao Mu, Zhiqian Lan, Chen Chen, Chang Liu, Ping Luo, Shengbo Eben Li

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL.

Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang

Proceedings of the International Conference on Machine Learning, 2023

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners.

Zhixuan Liang, Yao Mu, Mingyu Ding, Fei Ni, Masayoshi Tomizuka, Ping Luo

Proceedings of the International Conference on Machine Learning, 2023

EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model.

Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu, Yan Zheng, Yujing Hu, Jinyi Liu, Yingfeng Chen, Changjie Fan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CO3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Yu Qiao, Zhenguo Li, Ping Luo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

EC²: Emergent Communication for Embodied Control.

Yao Mu, Shunyu Yao, Mingyu Ding, Ping Luo, Chuang Gan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Assessment of Ecological Cumulative Effect due to Mining Disturbance Using Google Earth Engine.

Wenfu Yang, Yao Mu, Wenkai Zhang, Wenwen Wang, Jin Liu, Junhuan Peng, Xiaosong Liu, Tingting He

Remote. Sens., 2022

Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning.

Junjie Wang, Yao Mu, Dong Li, Qichao Zhang, Dongbin Zhao, Yuzheng Zhuang, Ping Luo, Bin Wang, Jianye Hao

CoRR, 2022

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.

Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo

CoRR, 2022

Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model.

Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, Yanfeng Lu

CoRR, 2022

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving.

Runjian Chen, Yao Mu, Runsen Xu, Wenqi Shao, Chenhan Jiang, Hang Xu, Zhenguo Li, Ping Luo

CoRR, 2022

DOMINO: Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning.

Yao Mu, Yuzheng Zhuang, Fei Ni, Bin Wang, Jianyu Chen, Jianye Hao, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning.

Yao Lai, Yao Mu, Ping Luo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning.

Zhecheng Yuan, Guozheng Ma, Yao Mu, Bo Xia, Bo Yuan, Xueqian Wang, Ping Luo, Huazhe Xu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Scale-Equivalent Distillation for Semi-Supervised Object Detection.

Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Steadily Learn to Drive with Virtual Memory.

Yuhang Zhang, Yao Mu, Yujie Yang, Yang Guan, Shengbo Eben Li, Qi Sun, Jianyu Chen

CoRR, 2021

Model-Based Reinforcement Learning via Imagination with Derived Memory.

Yao Mu, Yuzheng Zhuang, Bin Wang, Guangxiang Zhu, Wulong Liu, Jianyu Chen, Ping Luo, Shengbo Li, Chongjie Zhang, Jianye Hao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Separated Proportional-Integral Lagrangian for Chance Constrained Reinforcement Learning.

Baiyu Peng, Yao Mu, Jingliang Duan, Yang Guan, Shengbo Eben Li, Jianyu Chen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Model-Based Actor-Critic with Chance Constraint for Stochastic System.

Baiyu Peng, Yao Mu, Yang Guan, Shengbo Eben Li, Yuming Yin, Jianyu Chen

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms.

Liyang Wang, Yao Mu, Jing Zhao, Xiaoya Wang, Huilian Che

Sensors, 2020

Mixed Reinforcement Learning with Additive Stochastic Uncertainty.

Yao Mu, Shengbo Eben Li, Chang Liu, Qi Sun, Bingbing Nie, Bo Cheng, Baiyu Peng

CoRR, 2020