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Yanjie Ze
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2020 – today
- 2024
- [c10]Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon Shaolei Du, Huazhe Xu:
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning. ICLR 2024 - [c9]Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu:
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. ICLR 2024 - [i13]Yanjie Ze, Gu Zhang, Kangning Zhang, Chenyuan Hu, Muhan Wang, Huazhe Xu:
3D Diffusion Policy. CoRR abs/2403.03954 (2024) - [i12]Zhengmao He, Kun Lei, Yanjie Ze, Koushil Sreenath, Zhongyu Li, Huazhe Xu:
Learning Visual Quadrupedal Loco-Manipulation from Demonstrations. CoRR abs/2403.20328 (2024) - 2023
- [j1]Yanjie Ze
, Nicklas Hansen
, Yinbo Chen, Mohit Jain, Xiaolong Wang
:
Visual Reinforcement Learning With Self-Supervised 3D Representations. IEEE Robotics Autom. Lett. 8(5): 2890-2897 (2023) - [c8]Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang:
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. CoRL 2023: 284-301 - [c7]Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. ICML 2023: 12511-12526 - [c6]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. IJCAI 2023: 4638-4646 - [c5]Sizhe Yang, Yanjie Ze, Huazhe Xu:
MoVie: Visual Model-Based Policy Adaptation for View Generalization. NeurIPS 2023 - [c4]Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu:
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation. NeurIPS 2023 - [c3]Canzhe Zhao
, Yanjie Ze
, Jing Dong
, Baoxiang Wang
, Shuai Li
:
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. WSDM 2023: 985-993 - [i11]Sizhe Yang, Yanjie Ze, Huazhe Xu:
MoVie: Visual Model-Based Policy Adaptation for View Generalization. CoRR abs/2307.00972 (2023) - [i10]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2308.09902 (2023) - [i9]Yanjie Ze, Ge Yan, Yueh-Hua Wu, Annabella Macaluso, Yuying Ge, Jianglong Ye, Nicklas Hansen, Li Erran Li, Xiaolong Wang:
GNFactor: Multi-Task Real Robot Learning with Generalizable Neural Feature Fields. CoRR abs/2308.16891 (2023) - [i8]Yanjie Ze, Yuyao Liu, Ruizhe Shi, Jiaxin Qin, Zhecheng Yuan, Jiashun Wang, Huazhe Xu:
H-InDex: Visual Reinforcement Learning with Hand-Informed Representations for Dexterous Manipulation. CoRR abs/2310.01404 (2023) - [i7]Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu:
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization. CoRR abs/2310.19668 (2023) - [i6]Ruizhe Shi, Yuyao Liu, Yanjie Ze, Simon S. Du, Huazhe Xu:
Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning. CoRR abs/2310.20587 (2023) - [i5]Tao Huang, Guangqi Jiang, Yanjie Ze, Huazhe Xu:
Diffusion Reward: Learning Rewards via Conditional Video Diffusion. CoRR abs/2312.14134 (2023) - [i4]Ziyu Wang, Yanjie Ze, Yifei Sun, Zhecheng Yuan, Huazhe Xu:
Generalizable Visual Reinforcement Learning with Segment Anything Model. CoRR abs/2312.17116 (2023) - 2022
- [c2]Yang You, Wenhai Liu, Yanjie Ze, Yong-Lu Li, Weiming Wang, Cewu Lu:
UKPGAN: A General Self-Supervised Keypoint Detector. CVPR 2022: 17021-17030 - [c1]Yanjie Ze, Xiaolong Wang:
Category-Level 6D Object Pose Estimation in the Wild: A Semi-Supervised Learning Approach and A New Dataset. NeurIPS 2022 - [i3]Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li:
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization. CoRR abs/2201.10447 (2022) - [i2]Yanjie Ze, Nicklas Hansen, Yinbo Chen, Mohit Jain, Xiaolong Wang:
Visual Reinforcement Learning with Self-Supervised 3D Representations. CoRR abs/2210.07241 (2022) - [i1]Nicklas Hansen, Zhecheng Yuan, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Hao Su, Huazhe Xu, Xiaolong Wang:
On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline. CoRR abs/2212.05749 (2022)
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last updated on 2024-08-08 20:16 CEST by the dblp team
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