| On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline N Hansen*, Z Yuan*, Y Ze*, T Mu, A Rajeswaran, H Su, H Xu, X Wang International Conference on Machine Learning (ICML), 2023, 2023 | 49* | 2023 |
| GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields Y Ze, G Yan, YH Wu, A Macaluso, Y Ge, J Ye, N Hansen, LE Li, X Wang 7th Annual Conference on Robot Learning (CoRL), Oral Presentation, 2023 | 38 | 2023 |
| Visual Reinforcement Learning with Self-Supervised 3D Representations Y Ze, N Hansen, Y Chen, M Jain, X Wang IEEE Robotics and Automation Letters (RA-L), 2023, 2023 | 36 | 2023 |
| Ukpgan: A general self-supervised keypoint detector Y You, W Liu, Y Ze, YL Li, W Wang, C Lu Computer Vision and Pattern Recognition (CVPR), 2022, 17042-17051, 2022 | 23* | 2022 |
| 3D Diffusion Policy: Generalizable visuomotor policy learning via simple 3d representations Y Ze, G Zhang, K Zhang, C Hu, M Wang, H Xu Robotics: Science and Systems (RSS), 2024, 2024 | 19* | 2024 |
| Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning R Shi, Y Liu, Y Ze, SS Du, H Xu International Conference on Learning Representations (ICLR), 2024, 2023 | 10 | 2023 |
| DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization G Xu, R Zheng, Y Liang, X Wang, Z Yuan, T Ji, Y Luo, X Liu, J Yuan, ... International Conference on Learning Representations (ICLR), 2024, 2023 | 10 | 2023 |
| H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation Y Ze, Y Liu, R Shi, J Qin, Z Yuan, J Wang, H Xu Conference on Neural Information Processing Systems (NeurIPS), 2023, 2023 | 9 | 2023 |
| MoVie: Visual Model-Based Policy Adaptation for View Generalization S Yang*, Y Ze*, H Xu Conference on Neural Information Processing Systems (NeurIPS), 2023, 2023 | 4 | 2023 |
| Generalizable visual reinforcement learning with segment anything model Z Wang, Y Ze, Y Sun, Z Yuan, H Xu arXiv preprint arXiv:2312.17116, 2023 | 3 | 2023 |
| Diffusion Reward: Learning Rewards via Conditional Video Diffusion T Huang, G Jiang, Y Ze, H Xu arXiv preprint arXiv:2312.14134, 2023 | 2 | 2023 |
| Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization C Zhao, Y Ze, J Dong, B Wang, S Li International Conference on Web Search and Data Mining (WSDM), 2023, 2023 | 2 | 2023 |
| Learning Visual Quadrupedal Loco-Manipulation from Demonstrations Z He, K Lei, Y Ze, K Sreenath, Z Li, H Xu arXiv preprint arXiv:2403.20328, 2024 | 1 | 2024 |
| DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning C Zhao*, Y Ze*, J Dong, B Wang, S Li International Joint Conference on Artificial Intelligence (IJCAI), 2023, 2023 | 1 | 2023 |
Huazhe XuTsinghua University在 berkeley.edu 的电子邮件经过验证
Huazhe XuTsinghua University在 berkeley.edu 的电子邮件经过验证
Nicklas HansenUC San Diego在 ucsd.edu 的电子邮件经过验证
Xiaolong WangAssistant Professor, UC San Diego在 ucsd.edu 的电子邮件经过验证