What's this about?
A distillation method that hands the rollout between teacher and student mid-trajectory, so the student learns on-policy from the states it actually visits rather than only from teacher-generated ones.
Why it matters
On-policy distribution mismatch is a classic failure mode; relaying the trajectory (24 upvotes) is a clean idea for training better small models from large ones.