Tung M. Luu

Advanced Vision-Language-Action models can be dramatically compressed by up to 50% without losing performance, reshaping our approach to robotic manipulation.

VOTP slashes the labeling burden in preference-based reinforcement learning, achieving superior performance with minimal human input.

Single-step action generation can outperform multi-step diffusion methods in offline reinforcement learning, achieving higher performance with lower computational costs.