1 code implementation • 22 Apr 2024 • Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
This paper aims to design an adaptive client sampling algorithm for FL over wireless networks that tackles both system and statistical heterogeneity to minimize the wall-clock convergence time.
no code implementations • 7 Mar 2024 • Tairan He, Zhengyi Luo, Wenli Xiao, Chong Zhang, Kris Kitani, Changliu Liu, Guanya Shi
We present Human to Humanoid (H2O), a reinforcement learning (RL) based framework that enables real-time whole-body teleoperation of a full-sized humanoid robot with only an RGB camera.
no code implementations • 31 Jan 2024 • Tairan He, Chong Zhang, Wenli Xiao, Guanqi He, Changliu Liu, Guanya Shi
Legged robots navigating cluttered environments must be jointly agile for efficient task execution and safe to avoid collisions with obstacles or humans.
1 code implementation • 8 Oct 2023 • Wenli Xiao, Tairan He, John Dolan, Guanya Shi
In contrast, policy adaptation based on reinforcement learning (RL) offers versatility and generalizability but presents safety and robustness challenges.
no code implementations • 13 Apr 2023 • Wenli Xiao, Yiwei Lyu, John Dolan
This design enables efficient synthesis of shields to monitor agents in complex environments without coordination overheads.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 21 Dec 2021 • Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
This paper aims to design an adaptive client sampling algorithm that tackles both system and statistical heterogeneity to minimize the wall-clock convergence time.