Andrew Zou Li

ELASTIC: Efficiently Learning to Adaptively Scale Test-Time Compute for Generative Control Policies

Andrew Zou Li, Gokul Swamy, Yonatan Bisk, Andrea Bajcsy

Generative control policies (GCPs), such as diffusion policies and flow-based vision-language-action models, enable test-time scaling in robot control. Test-time compute can be allocated along two axes: sequential scaling, which increases denoising steps to refine actions, and pa…Read more