| 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 | 864 | 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 | 565 | 2016 |
| Reinforcement learning from imperfect demonstrations Y Gao, H Xu, J Lin, F Yu, S Levine, T Darrell arXiv preprint arXiv:1802.05313, 2018 | 220 | 2018 |
| 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 | 189* | 2019 |
| 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 | 104 | 2020 |
| 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 | 73 | 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 | 58* | 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 | 51 | 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 | 50 | 2018 |
| 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 | 36 | 2021 |
| 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 | 34 | 2021 |
| 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 | 31 | 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 | 30* | 2015 |
| 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 | 20 | 2020 |
| Solving compositional reinforcement learning problems via task reduction Y Li, Y Wu, H Xu, X Wang, Y Wu arXiv preprint arXiv:2103.07607, 2021 | 16 | 2021 |
| Video prediction via example guidance J Xu, H Xu, B Ni, X Yang, T Darrell International Conference on Machine Learning, oral, 10628-10637, 2020 | 16 | 2020 |
| 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 | 15 | 2021 |
| Learning self-correctable policies and value functions from demonstrations with negative sampling Y Luo, H Xu, T Ma arXiv preprint arXiv:1907.05634, 2019 | 14 | 2019 |
| Robocraft: Learning to see, simulate, and shape elasto-plastic objects with graph networks H Shi, H Xu, Z Huang, Y Li, J Wu arXiv preprint arXiv:2205.02909, 2022 | 13 | 2022 |
| 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 | 11 | 2022 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
