| Self-supervised policy adaptation during deployment N Hansen, R Jangir, Y Sun, G Alenyà, P Abbeel, AA Efros, L Pinto, ... arXiv preprint arXiv:2007.04309, 2020 | 79 | 2020 |
| Generalization in reinforcement learning by soft data augmentation N Hansen, X Wang 2021 IEEE International Conference on Robotics and Automation (ICRA), 13611 …, 2021 | 60 | 2021 |
| Stabilizing deep q-learning with convnets and vision transformers under data augmentation N Hansen, H Su, X Wang Advances in neural information processing systems 34, 3680-3693, 2021 | 37 | 2021 |
| 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 | 26 | 2021 |
| Look closer: Bridging egocentric and third-person views with transformers for robotic manipulation R Jangir, N Hansen, S Ghosal, M Jain, X Wang IEEE Robotics and Automation Letters 7 (2), 3046-3053, 2022 | 14 | 2022 |
| Temporal difference learning for model predictive control N Hansen, X Wang, H Su arXiv preprint arXiv:2203.04955, 2022 | 13 | 2022 |
| Short term blood glucose prediction based on continuous glucose monitoring data A Mohebbi, AR Johansen, N Hansen, PE Christensen, JM Tarp, ... 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 12 | 2020 |
| Visual reinforcement learning with self-supervised 3d representations Y Ze, N Hansen, Y Chen, M Jain, X Wang arXiv preprint arXiv:2210.07241, 2022 | 5 | 2022 |
| On the feasibility of cross-task transfer with model-based reinforcement learning Y Xu, N Hansen, Z Wang, YC Chan, H Su, Z Tu arXiv preprint arXiv:2210.10763, 2022 | 2 | 2022 |
| Graph inverse reinforcement learning from diverse videos S Kumar, J Zamora, N Hansen, R Jangir, X Wang arXiv preprint arXiv:2207.14299, 2022 | 1 | 2022 |
| MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations N Hansen, Y Lin, H Su, X Wang, V Kumar, A Rajeswaran arXiv preprint arXiv:2212.05698, 2022 | | 2022 |
| On Pre-Training for Visuo-Motor Control: Revisiting a Learning-from-Scratch Baseline N Hansen, Z Yuan, Y Ze, T Mu, A Rajeswaran, H Su, H Xu, X Wang arXiv preprint arXiv:2212.05749, 2022 | | 2022 |
| Wildlife tracking methods DS Morrant, JM Turner, MA Jensen, NA Hansen, DS Bower, G Körtner, ... Wildlife Research in Australia: Practical and Applied Methods, 180, 2022 | | 2022 |
| Graph Inverse Reinforcement Learning from Diverse Videos SKJ Zamora, N Hansen, RJX Wang | | |
Xiaolong WangAssistant Professor, UC San DiegoVerified email at ucsd.edu
