20 citations · 69 across the 50 of their papers we have counts for
7 papers · 1 filter
Learning Optimal Contracts: How to Exploit Small Action Spaces
Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi +1
We study principal-agent problems in which a principal commits to an outcome-dependent payment scheme -- called contract -- in order to induce an agent to take a costly, unobservab…
Persuading Farsighted Receivers in MDPs: the Power of Honesty
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi +1
Bayesian persuasion studies the problem faced by an informed sender who strategically discloses information to influence the behavior of an uninformed receiver. Recently, a growing…
A Best-of-Both-Worlds Algorithm for Constrained MDPs with Long-Term Constraints
Jacopo Germano, Francesco Emanuele Stradi, Gianmarco Genalti +3
We study online learning in episodic constrained Markov decision processes (CMDPs), where the learner aims at collecting as much reward as possible over the episodes, while satisfy…
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
Martino Bernasconi, Matteo Castiglioni, Andrea Celli +3
Bayesian persuasion studies how an informed sender should influence beliefs of rational receivers who take decisions through Bayesian updating of a common prior. We focus on the on…
Selling Information while Being an Interested Party
Matteo Castiglioni, Francesco Bacchiocchi, Alberto Marchesi +2
We study the algorithmic problem faced by an information holder (seller) who wants to optimally sell such information to a budged-constrained decision maker (buyer) that has to und…
Multi-Agent Contract Design: How to Commission Multiple Agents with Individual Outcome
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
We study hidden-action principal-agent problems with multiple agents. These are problems in which a principal commits to an outcome-dependent payment scheme in order to incentivize…
Constrained Phi-Equilibria
Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi +2
The computational study of equilibria involving constraints on players' strategies has been largely neglected. However, in real-world applications, players are usually subject to c…