20 citations · 145 across the 58 of their papers we have counts for
8 papers · 1 filter
Hidden-Role Games: Equilibrium Concepts and Computation
Luca Carminati, Brian Hu Zhang, Gabriele Farina +2
In this paper, we study the class of games known as hidden-role games in which players are assigned privately to teams and are faced with the challenge of recognizing and cooperati…
Online Information Acquisition: Hiring Multiple Agents
Federico Cacciamani, Matteo Castiglioni, Nicola Gatti
We investigate the mechanism design problem faced by a principal who hires \emph{multiple} agents to gather and report costly information. Then, the principal exploits the informat…
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides +7
We introduce a new approach for computing optimal equilibria via learning in games. It applies to extensive-form settings with any number of players, including mechanism design, in…
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…
Online Mechanism Design for Information Acquisition
Federico Cacciamani, Matteo Castiglioni, Nicola Gatti
We study the problem of designing mechanisms for \emph{information acquisition} scenarios. This setting models strategic interactions between an uniformed \emph{receiver} and a set…
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…