| Learning to locomote: Understanding how environment design matters for deep reinforcement learning D Reda, T Tao, M van de Panne Proceedings of the 13th ACM SIGGRAPH conference on motion, interaction and …, 2020 | 70 | 2020 |
| Style-ERD: Responsive and coherent online motion style transfer T Tao, X Zhan, Z Chen, M van de Panne Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| Learning to get up T Tao, M Wilson, R Gou, M Van De Panne ACM SIGGRAPH 2022 Conference Proceedings, 1-10, 2022 | 18 | 2022 |
| Evaluating vision transformer methods for deep reinforcement learning from pixels T Tao, D Reda, M van de Panne arXiv preprint arXiv:2204.04905, 2022 | 16 | 2022 |
| Towards the development of a learning-based intention classification framework for pushrim-activated power-assisted wheelchairs M Khalili, T Tao, R Ye, S Xie, H Yang, HFM Van der Loos, JF Borisoff 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR …, 2019 | 6 | 2019 |
| Learning to get up with deep reinforcement learning T Tao University of British Columbia, 2022 | 1 | 2022 |
