CHENHAN XIAO

Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning

Learning dynamics is essential for model-based control and Reinforcement Learning in systems operating in changing environments, such as robotics, autonomous vehicles, and power systems. However, limited system measurements, such as those from low-resolution meters, demand sample-efficient learning.…