Synthetic-Data RL for VLA Models

Fri, 06 Nov 2026 00:00:00 +0000

We are building a framework for training vision-language-action models to perform complex manipulation tasks in data center environments without requiring human demonstrations or teleoperation data.

Pre-programmed policies initialize reinforcement learning, while diverse synthetic scenes provide scalable experience. The goal is to reduce the cost and operational burden of collecting task-specific demonstration data.

VLA | Ming Lin

Synthetic-Data RL for VLA Models