Wen-Xi Gan

Learning to Act with Task Progress: Distilling Small Agents from Compact Teacher Supervision

Learning from large-model demonstrations offers a way to train small agents that can complete recurring tasks without calling a large model at every step. A central design choice is what to retain from teacher trajectories that contain reasoning, actions, and information about task progress. We introduce Task-Progress...