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Yao (Mark) Mu
Yao (Mark) Mu
The University of Hong Kong, National University of Singapore
在 connect.hku.hk 的电子邮件经过验证 - 首页
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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
952024
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
612023
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
492023
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
272022
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
262022
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
252020
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
192022
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
192021
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
162023
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
162022
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
152022
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
142024
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
142023
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, 2022
142022
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
132020
Ctrlformer: Learning transferable state representation for visual control via transformer
Y Mu, S Chen, M Ding, J Chen, R Chen, P Luo
arXiv preprint arXiv:2206.08883, 2022
122022
Euclid: Towards efficient unsupervised reinforcement learning with multi-choice dynamics model
Y Yuan, J Hao, F Ni, Y Mu, Y Zheng, Y Hu, J Liu, Y Chen, C Fan
arXiv preprint arXiv:2210.00498, 2022
112022
Model-based actor-critic with chance constraint for stochastic system
B Peng, Y Mu, Y Guan, SE Li, Y Yin, J Chen
2021 60th IEEE Conference on Decision and Control (CDC), 4694-4700, 2021
102021
Model-based reinforcement learning via imagination with derived memory
Y Mu, Y Zhuang, B Wang, G Zhu, W Liu, J Chen, P Luo, S Li, C Zhang, ...
Advances in Neural Information Processing Systems 34, 9493-9505, 2021
72021
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
62023
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