Asking Smarter Questions: Targeted Active Preference Learning for Underspecified Rewards.

arXiv:2610.22285v1 Announce Type: cross Abstract: Reward learning typically assumes the human's input covers everything that matters for the task. In practice, humans can only attend to so much at once, so their teaching naturally captures some features---or a