Follow
Yao (Mark) Mu
Title
Cited by
Cited by
Year
Embodiedgpt: Vision-language pre-training via embodied chain of thought
Y Mu, Q Zhang, M Hu, W Wang, M Ding, J Jin, B Wang, J Dai, Y Qiao, ...
Advances in Neural Information Processing Systems 36, 2024
1542024
Languagempc: Large language models as decision makers for autonomous driving
H Sha, Y Mu, Y Jiang, L Chen, C Xu, P Luo, SE Li, M Tomizuka, W Zhan, ...
arXiv preprint arXiv:2310.03026, 2023
1162023
Adaptdiffuser: Diffusion models as adaptive self-evolving planners
Z Liang, Y Mu, M Ding, F Ni, M Tomizuka, P Luo
arXiv preprint arXiv:2302.01877, 2023
752023
Maskplace: Fast chip placement via reinforced visual representation learning
Y Lai, Y Mu, P Luo
Advances in Neural Information Processing Systems 35, 24019-24030, 2022
392022
Scale-equivalent distillation for semi-supervised object detection
Q Guo, Y Mu, J Chen, T Wang, Y Yu, P Luo
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
332022
Metadiffuser: Diffusion model as conditional planner for offline meta-rl
F Ni, J Hao, Y Mu, Y Yuan, Y Zheng, B Wang, Z Liang
International Conference on Machine Learning, 26087-26105, 2023
302023
IGRNet: a deep learning model for non-invasive, real-time diagnosis of prediabetes through electrocardiograms
L Wang, Y Mu, J Zhao, X Wang, H Che
Sensors 20 (9), 2556, 2020
282020
Tree-planner: Efficient close-loop task planning with large language models
M Hu, Y Mu, X Yu, M Ding, S Wu, W Shao, Q Chen, B Wang, Y Qiao, ...
arXiv preprint arXiv:2310.08582, 2023
272023
Model-based chance-constrained reinforcement learning via separated proportional-integral lagrangian
B Peng, J Duan, J Chen, SE Li, G Xie, C Zhang, Y Guan, Y Mu, E Sun
IEEE Transactions on Neural Networks and Learning Systems 35 (1), 466-478, 2022
262022
Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning
Z Yuan, G Ma, Y Mu, B Xia, B Yuan, X Wang, P Luo, H Xu
arXiv preprint arXiv:2202.09982, 2022
252022
Separated proportional-integral lagrangian for chance constrained reinforcement learning
B Peng, Y Mu, J Duan, Y Guan, SE Li, J Chen
2021 IEEE Intelligent Vehicles Symposium (IV), 193-199, 2021
232021
Enhance sample efficiency and robustness of end-to-end urban autonomous driving via semantic masked world model
Z Gao, Y Mu, C Chen, J Duan, P Luo, Y Lu, SE Li
IEEE Transactions on Intelligent Transportation Systems, 2024
222024
Flow-based recurrent belief state learning for pomdps
X Chen, YM Mu, P Luo, S Li, J Chen
International Conference on Machine Learning, 3444-3468, 2022
182022
CO^ 3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving
R Chen, Y Mu, R Xu, W Shao, C Jiang, H Xu, Z Li, P Luo
arXiv preprint arXiv:2206.04028, 2022
182022
Aligndiff: Aligning diverse human preferences via behavior-customisable diffusion model
Z Dong, Y Yuan, J Hao, F Ni, Y Mu, Y Zheng, Y Hu, T Lv, C Fan, Z Hu
arXiv preprint arXiv:2310.02054, 2023
172023
Skilldiffuser: Interpretable hierarchical planning via skill abstractions in diffusion-based task execution
Z Liang, Y Mu, H Ma, M Tomizuka, M Ding, P Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
162024
Ec2: Emergent communication for embodied control
Y Mu, S Yao, M Ding, P Luo, C Gan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
162023
Voronav: Voronoi-based zero-shot object navigation with large language model
P Wu, Y Mu, B Wu, Y Hou, J Ma, S Zhang, C Liu
arXiv preprint arXiv:2401.02695, 2024
152024
Sept: Towards efficient scene representation learning for motion prediction
Z Lan, Y Jiang, Y Mu, C Chen, SE Li
The Twelfth International Conference on Learning Representations, 2023
152023
Mixed reinforcement learning for efficient policy optimization in stochastic environments
Y Mu, B Peng, Z Gu, SE Li, C Liu, B Nie, J Zheng, B Zhang
2020 20th International Conference on Control, Automation and Systems (ICCAS …, 2020
152020
The system can't perform the operation now. Try again later.
Articles 1–20