Online bayesian persuasion

M Castiglioni, A Celli, A Marchesi… - Advances in neural …, 2020 - proceedings.neurips.cc
In Bayesian persuasion, an informed sender has to design a signaling scheme that
discloses the right amount of information so as to influence the behavior of a self-interested …

Optimal rates and efficient algorithms for online Bayesian persuasion

M Bernasconi, M Castiglioni, A Celli… - International …, 2023 - proceedings.mlr.press
Bayesian persuasion studies how an informed sender should influence beliefs of rational
receivers that take decisions through Bayesian updating of a common prior. We focus on the …

Sequential information design: Learning to persuade in the dark

M Bernasconi, M Castiglioni… - Advances in …, 2022 - proceedings.neurips.cc
We study a repeated information design problem faced by an informed sender who tries to
influence the behavior of a self-interested receiver. We consider settings where the receiver …

Multi-receiver online bayesian persuasion

M Castiglioni, A Marchesi, A Celli… - … on Machine Learning, 2021 - proceedings.mlr.press
Bayesian persuasion studies how an informed sender should partially disclose information
to influence the behavior of a self-interested receiver. Classical models make the stringent …

[PDF][PDF] Optimal coordination in generalized principal-agent problems: A revisit and extensions

J Gan, M Han, J Wu, H Xu - arXiv preprint arXiv:2209.01146, 2022 - academia.edu
In the principal-agent problem formulated by Myerson [Mye82], agents have private
information (type) and make private decisions (action), both of which are unobservable to …

Persuading farsighted receivers in mdps: the power of honesty

M Bernasconi, M Castiglioni… - Advances in Neural …, 2023 - proceedings.neurips.cc
Bayesian persuasion studies the problem faced by an informed sender who strategically
discloses information to influence the behavior of an uninformed receiver. Recently, a …

Algorithmic persuasion with no externalities

S Dughmi, H Xu - Proceedings of the 2017 ACM Conference on …, 2017 - dl.acm.org
We study the algorithmics of information structure design---aka persuasion or signaling---in
a fundamental special case introduced by Arieli and Babichenko: multiple agents, binary …

On the tractability of public persuasion with no externalities

H Xu - arXiv preprint arXiv:1906.07359, 2019 - arxiv.org
Persuasion studies how a principal can influence agents' decisions via strategic information
revelation---often described as a signaling scheme---in order to yield the most desirable …

Rationality-robust information design: Bayesian persuasion under quantal response

Y Feng, CJ Ho, W Tang - Proceedings of the 2024 Annual ACM-SIAM …, 2024 - SIAM
Classic mechanism/information design imposes the assumption that agents are fully
rational, meaning each of them always selects the action that maximizes her expected utility …

Markov persuasion processes: Learning to persuade from scratch

F Bacchiocchi, FE Stradi, M Castiglioni… - arXiv preprint arXiv …, 2024 - arxiv.org
In Bayesian persuasion, an informed sender strategically discloses information to a receiver
so as to persuade them to undertake desirable actions. Recently, a growing attention has …