Quantao Yang

TEMPO: Semantic-Action Decoupled RL Post-Training for Vision-Language-Action Models

Vision-language-action (VLA) models are commonly adapted to downstream manipulation tasks via supervised fine-tuning (SFT) or online reinforcement learning (RL) post-training. SFT is prone to distribution mismatch, and existing RL approaches typically apply a single, uniform update strategy to all model components, ign...