Certified Task-Conditioned Active Observability
Before acting upon an unobservable physical system, an autonomous agent must determine which latent distinctions govern downstream tasks, how many active interventions are necessary to certify them, and when to abstain to prevent catastrophic errors. Classical observability treats state reconstruction as an unconditioned binary predicate, failing when passive observations cannot break latent degeneracies without perturbation, full microscopic inversion is prohibitively costly, and distinguishing task-irrelevant degrees of freedom wastes interaction budgets. We formalize task-conditioned active observability complexity: the minimum worst-case expected interaction cost required to identify ...
| Authors | Linzhe Zhang, Changming Xu |
|---|---|
| Primary category | stat.ML |
| Published | 22 September 2026 |
| Last updated at source | 22 September 2026 |
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