Tackling system and statistical heterogeneity for federated learning with adaptive client sampling B Luo, W Xiao, S Wang, J Huang, L Tassiulas IEEE INFOCOM 2022-IEEE conference on computer communications, 1739-1748, 2022 | 135 | 2022 |
Agile but safe: Learning collision-free high-speed legged locomotion T He, C Zhang, W Xiao, G He, C Liu, G Shi arXiv preprint arXiv:2401.17583, 2024 | 7 | 2024 |
Learning human-to-humanoid real-time whole-body teleoperation T He, Z Luo, W Xiao, C Zhang, K Kitani, C Liu, G Shi arXiv preprint arXiv:2403.04436, 2024 | 6 | 2024 |
Model-based Dynamic Shielding for Safe and Efficient Multi-Agent Reinforcement Learning W Xiao, Y Lyu, J Dolan AAMAS 2023, 2023 | 5 | 2023 |
Energy-based predictive representations for partially observed reinforcement learning T Zhang, T Ren, C Xiao, W Xiao, JE Gonzalez, D Schuurmans, B Dai Uncertainty in Artificial Intelligence, 2477-2487, 2023 | 3 | 2023 |
Safe deep policy adaptation W Xiao, T He, J Dolan, G Shi arXiv preprint arXiv:2310.08602, 2023 | 2 | 2023 |
OmniH2O: Universal and Dexterous Human-to-Humanoid Whole-Body Teleoperation and Learning T He, Z Luo, X He, W Xiao, C Zhang, W Zhang, K Kitani, C Liu, G Shi arXiv preprint arXiv:2406.08858, 2024 | | 2024 |
WoCoCo: Learning Whole-Body Humanoid Control with Sequential Contacts C Zhang, W Xiao, T He, G Shi arXiv preprint arXiv:2406.06005, 2024 | | 2024 |
Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks B Luo, W Xiao, S Wang, J Huang, L Tassiulas IEEE Transactions on Mobile Computing, 2024 | | 2024 |