BEE: Intervention-Adaptive Real-World Reinforcement Learning with Vision-Language-Action Models
BEE is introduced, an intervention-adaptive framework for real-world RL on a frozen VLA that lets the policy go BEyond Expert imitation, and a Correction Model predicts how a human would correct a given VLA proposal and how consistent the correction is along each action dimension.
Wei-Hui Zhao, Xiao Yan, Zu-Nian Wan et al.
· 0 citations