AI RESEARCH
$How^{2}$: How to learn from procedural How-to questions
arXiv CS.CL
•
ArXi:2510.11144v2 Announce Type: replace-cross An agent facing a planning problem can use answers to how-to questions to reduce uncertainty and fill knowledge gaps, helping it solve both current and future tasks. However, their open ended nature, where valid answers to "How do I X?" range from executable actions to high-level descriptions of X's sub-goals, makes them challenging for AI agents to ask, and for AI experts to answer, in ways that efficient planning. We