Learning Quality-Controllable Robot Policies with Iterative Hindsight Relabeling.

arXiv:2610.37393v1 Announce Type: cross Abstract: Robot policy evaluation often relies on a binary success signal for task completion. In real-world deployment, however, desired execution behaviors are also defined by quality attributes such as execution speed