2026
Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning
RSS 2026poster
Pretrained on large-scale and diverse datasets, VLA models demonstrate strong generalization and adaptability as general-purpose robotic policies. However, Supervised Fine-Tuning (SFT), which serves as the primary mechanism for adapting VLAs to downstream domains, requires substantial amounts of tas…