Huazhe Xu
Huazhe Xu
Tsinghua University
Verified email at - Homepage
Cited by
Cited by
End-to-end learning of driving models from large-scale video datasets
H Xu, Y Gao, F Yu, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Natural language object retrieval
R Hu, H Xu, M Rohrbach, J Feng, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Y Luo, H Xu, Y Li, Y Tian, T Darrell, T Ma
International Conference of Learning Representation (ICLR), https://arxiv …, 2019
Reinforcement learning from imperfect demonstrations
Y Gao, H Xu, J Lin, F Yu, S Levine, T Darrell
arXiv preprint arXiv:1802.05313, 2018
Multi-task reinforcement learning with soft modularization
R Yang, H Xu, Y Wu, X Wang
Advances in Neural Information Processing Systems 33, 4767-4777, 2020
Synthesizing long-term 3d human motion and interaction in 3d scenes
J Wang, H Xu, J Xu, S Liu, X Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Disentangling propagation and generation for video prediction
H Gao, H Xu, QZ Cai, R Wang, F Yu, T Darrell
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Bebold: Exploration beyond the boundary of explored regions
T Zhang, H Xu, X Wang, Y Wu, K Keutzer, JE Gonzalez, Y Tian
arXiv preprint arXiv:2012.08621, 2020
Learning vision-guided quadrupedal locomotion end-to-end with cross-modal transformers
R Yang, M Zhang, N Hansen, H Xu, X Wang
arXiv preprint arXiv:2107.03996, 2021
Modular architecture for starcraft ii with deep reinforcement learning
D Lee, H Tang, J Zhang, H Xu, T Darrell, P Abbeel
Proceedings of the AAAI Conference on Artificial Intelligence and …, 2018
Multi-person 3d motion prediction with multi-range transformers
J Wang, H Xu, M Narasimhan, X Wang
Advances in Neural Information Processing Systems 34, 6036-6049, 2021
Pre-trained image encoder for generalizable visual reinforcement learning
Z Yuan, Z Xue, B Yuan, X Wang, Y Wu, Y Gao, H Xu
Advances in Neural Information Processing Systems 35, 13022-13037, 2022
Discovering diverse multi-agent strategic behavior via reward randomization
Z Tang, C Yu, B Chen, H Xu, X Wang, F Fang, S Du, Y Wang, Y Wu
arXiv preprint arXiv:2103.04564, 2021
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks
H Shi, H Xu, Z Huang, Y Li, J Wu
The International Journal of Robotics Research 43 (4), 533-549, 2024
Plan better amid conservatism: Offline multi-agent reinforcement learning with actor rectification
L Pan, L Huang, T Ma, H Xu
International conference on machine learning, 17221-17237, 2022
Multi-agent collaboration via reward attribution decomposition
T Zhang, H Xu, X Wang, Y Wu, K Keutzer, JE Gonzalez, Y Tian
arXiv preprint arXiv:2010.08531, 2020
A Low-Complexity Linear Precoding Scheme Based on SOR Method for Massive MIMO Systems
T Xie, Q Han, H Xu, Z Qi, W Shen
IEEE VTC’15 Spring, 2015
See, hear, and feel: Smart sensory fusion for robotic manipulation
H Li, Y Zhang, J Zhu, S Wang, MA Lee, H Xu, E Adelson, L Fei-Fei, R Gao, ...
arXiv preprint arXiv:2212.03858, 2022
Hierarchical style-based networks for motion synthesis
J Xu, H Xu, B Ni, X Yang, X Wang, T Darrell
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Gensim: Generating robotic simulation tasks via large language models
L Wang, Y Ling, Z Yuan, M Shridhar, C Bao, Y Qin, B Wang, H Xu, ...
arXiv preprint arXiv:2310.01361, 2023
The system can't perform the operation now. Try again later.
Articles 1–20