UC Berkeley's SuperMimic Outperforms 128-GPU Baseline with Three Hours of Single-GPU Training
A joint team including UC Berkeley and NVIDIA introduces SuperMimic, a method that trains a humanoid robot controller on a single GPU in three hours, surpassing a 128-GPU baseline. The approach uses a differentiable world model to drastically reduce the compute required for large-scale motion libraries compared to traditional reinforcement learning.
