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20172025
most citedLearning to Correlate in Multi-Player General-Sum Sequential Games

20 citations · 38 across the 12 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.AI20194 cited

Coordination in Adversarial Sequential Team Games via Multi-Agent Deep Reinforcement Learning

Andrea Celli, Marco Ciccone, Raffaele Bongo +1

Many real-world applications involve teams of agents that have to coordinate their actions to reach a common goal against potential adversaries. This paper focuses on zero-sum game…

cs.GT201920 cited

Learning to Correlate in Multi-Player General-Sum Sequential Games

Andrea Celli, Alberto Marchesi, Tommaso Bianchi +1

In the context of multi-player, general-sum games, there is an increasing interest in solution concepts modeling some form of communication among players, since they can lead to so…

cs.GT2019

Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud

Matteo Castiglioni, Andrea Celli, Nicola Gatti

We focus on the following natural question: is it possible to influence the outcome of a voting process through the strategic provision of information to voters who update their be…

cs.AI2019

Bayesian Persuasion with Sequential Games

Andrea Celli, Stefano Coniglio, Nicola Gatti

We study an information-structure design problem (a.k.a. persuasion) with a single sender and multiple receivers with actions of a priori unknown types, independently drawn from ac…

cs.GT2019

Computing Optimal Coarse Correlated Equilibria in Sequential Games

Andrea Celli, Stefano Coniglio, Nicola Gatti

We investigate the computation of equilibria in extensive-form games where ex ante correlation is possible, focusing on correlated equilibria requiring the least amount of communic…