| 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 | 499 | 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 | 348 | 2016 |
| Reinforcement learning from imperfect demonstrations Y Gao, H Xu, J Lin, F Yu, S Levine, T Darrell arXiv preprint arXiv:1802.05313, 2018 | 118 | 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 | 65* | 2019 |
| 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 | 27 | 2018 |
| 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 | 24 | 2015 |
| Disentangling propagation and generation for video prediction H Gao, H Xu, QZ Cai, R Wang, F Yu, T Darrell Proceedings of the IEEE International Conference on Computer Vision, 9006-9015, 2019 | 18 | 2019 |
| Multi-Task Reinforcement Learning with Soft Modularization R Yang, H Xu, Y Wu, X Wang arXiv preprint arXiv:2003.13661, 2020 | 6 | 2020 |
| Learning self-correctable policies and value functions from demonstrations with negative sampling Y Luo, H Xu, T Ma arXiv preprint arXiv:1907.05634, 2019 | 5 | 2019 |
| 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 | 2 | 2018 |
| Video Prediction via Example Guidance J Xu, H Xu, B Ni, X Yang, T Darrell International Conference on Machine Learning, 10628-10637, 2020 | 1 | 2020 |
| 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 | 1 | 2020 |
| 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 | | 2020 |
| 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 | | 2020 |
| 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 | | 2020 |
| Scoring-Aggregating-Planning: Learning task-agnostic priors from interactions and sparse rewards for zero-shot generalization H Xu, B Chen, Y Gao, T Darrell arXiv preprint arXiv:1910.08143, 2019 | | 2019 |
| Composable Semi-parametric Modelling for Long-range Motion Generation J Xu, H Xu, B Ni, X Yang, T Darrell | | 2019 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyBestätigte E-Mail-Adresse bei eecs.berkeley.edu
