WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models

Anlan Yu, Zaishu Chen, Peili Song +6

Imitation learning is a powerful paradigm for training robotic policies, yet its performance is limited by compounding errors: minor policy inaccuracies could drive robots into uns…