Robust Trust

Fuente: arXiv
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Auteurs principaux: Dworczak, Piotr, Smolin, Alex
Format: Preprint
Publié: 2026
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author Dworczak, Piotr
Smolin, Alex
author_facet Dworczak, Piotr
Smolin, Alex
contents An agent chooses an action based on her private information and a recommendation from an informed but potentially misaligned adviser. With a known probability, the adviser truthfully reports his signal; with the remaining probability, he can send any message. We characterize optimal robust decision rules that maximize the agent's worst-case expected payoff. Every optimal rule is equivalent to a trust-region policy in belief space: the adviser's reported beliefs are taken at face value if they fall within the trust region but are otherwise clipped to the trust region's boundary. We derive alignment thresholds above which advice is strictly valuable and fully characterize the solution in both binary-state and binary-action environments.
format Preprint
id arxiv_https___arxiv_org_abs_2602_09490
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Robust Trust
Dworczak, Piotr
Smolin, Alex
Theoretical Economics
An agent chooses an action based on her private information and a recommendation from an informed but potentially misaligned adviser. With a known probability, the adviser truthfully reports his signal; with the remaining probability, he can send any message. We characterize optimal robust decision rules that maximize the agent's worst-case expected payoff. Every optimal rule is equivalent to a trust-region policy in belief space: the adviser's reported beliefs are taken at face value if they fall within the trust region but are otherwise clipped to the trust region's boundary. We derive alignment thresholds above which advice is strictly valuable and fully characterize the solution in both binary-state and binary-action environments.
title Robust Trust
topic Theoretical Economics
url https://arxiv.org/abs/2602.09490