arXiv Artificial Intelligence

Probabilistic Plan Legibility with Off-the-shelf Planners

1 hour ago 02.10.2026 07:00 👁 1 views
Probabilistic Plan Legibility with Off-the-shelf Planners

Quick summary

arXiv:2610.00065v1 Announce Type: cross Abstract: Legible planning is the creation of plans that best disambiguate their goals from a set of other candidates from an observer's perspective. In this paper we propose a method for legible planning for arbitrary PDDL domains, by extending previous research on legibility to classical planning without requiring to construct ad-hoc planners. We also discuss how the observer perspective may be estimated through a second order theory of mind that connects the planner's and the observer's task spaces. Our solution can for example be deployed in human-ro

Key takeaways

  • arXiv:2610.00065v1 Announce Type: cross Abstract: Legible planning is the creation of plans that best disambiguate their goals from a set of other candidates from an observer's perspective.
  • In this paper we propose a method for legible planning for arbitrary PDDL domains, by extending previous research on legibility to classical planning without requiring to construct ad-hoc planners.
  • We also discuss how the observer perspective may be estimated through a second order theory of mind that connects the planner's and the observer's task spaces.

Why it matters

“Probabilistic Plan Legibility with Off-the-shelf Planners” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗