Huazhe(Harry) Xu
Huazhe(Harry) Xu
UC Berkleley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
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
5612017
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
3942016
Reinforcement learning from imperfect demonstrations
Y Gao, H Xu, J Lin, F Yu, S Levine, T Darrell
arXiv preprint arXiv:1802.05313, 2018
1182018
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
86*2019
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
332019
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
322018
Low-complexity LSQR-based linear precoding for massive MIMO systems
T Xie, Z Lu, Q Han, J Quan, B Wang
2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall), 1-5, 2015
242015
Multi-task reinforcement learning with soft modularization
R Yang, H Xu, Y Wu, X Wang
arXiv preprint arXiv:2003.13661, 2020
102020
Learning self-correctable policies and value functions from demonstrations with negative sampling
Y Luo, H Xu, T Ma
arXiv preprint arXiv:1907.05634, 2019
72019
Video Prediction via Example Guidance
J Xu, H Xu, B Ni, X Yang, T Darrell
International Conference on Machine Learning, 10628-10637, 2020
62020
Hierarchical Style-based Networks for Motion Synthesis
J Xu, H Xu, B Ni, X Yang, X Wang, T Darrell
arXiv preprint arXiv:2008.10162, 2020
42020
Hierarchical deep reinforcement learning agent with counter self-play on competitive games
H Xu, K Paster, Q Chen, H Tang, P Abbeel, T Darrell, S Levine
22018
Solving Compositional Reinforcement Learning Problems via Task Reduction
Y Li, Y Wu, H Xu, X Wang, Y Wu
arXiv preprint arXiv:2103.07607, 2021
12021
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
12021
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
12020
Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes
J Wang, H Xu, J Xu, S Liu, X Wang
arXiv preprint arXiv:2012.05522, 2020
12020
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
12020
Disentangled Attention as Intrinsic Regularization for Bimanual Multi-Object Manipulation
M Zhang, P Jian, Y Wu, H Xu, X Wang
arXiv preprint arXiv:2106.05907, 2021
2021
Towards Learning to Play Piano with Dexterous Hands and Touch
H Xu, Y Luo, S Wang, T Darrell, R Calandra
arXiv preprint arXiv:2106.02040, 2021
2021
PyTouch: A Machine Learning Library for Touch Processing
M Lambeta, H Xu, J Xu, PW Chou, S Wang, T Darrell, R Calandra
arXiv preprint arXiv:2105.12791, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20