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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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10 papers · 1 filter

cs.GT2022

Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria

Ioannis Anagnostides, Gabriele Farina, Christian Kroer +2

A recent emerging trend in the literature on learning in games has been concerned with providing faster learning dynamics for correlated and coarse correlated equilibria in normal-…

cs.GT2021

The Parity Ray Regularizer for Pacing in Auction Markets

Andrea Celli, Riccardo Colini-Baldeschi, Christian Kroer +1

Budget-management systems are one of the key components of modern auction markets. Internet advertising platforms typically offer advertisers the possibility to pace the rate at wh…

cs.GT20216 cited

Multi-Receiver Online Bayesian Persuasion

Matteo Castiglioni, Alberto Marchesi, Andrea Celli +1

Bayesian persuasion studies how an informed sender should partially disclose information to influence the behavior of a self-interested receiver. Classical models make the stringen…

cs.GT2021

Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium

Gabriele Farina, Andrea Celli, Alberto Marchesi +1

The existence of simple uncoupled no-regret learning dynamics that converge to correlated equilibria in normal-form games is a celebrated result in the theory of multi-agent system…

cs.GT20203 cited

Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games

Gabriele Farina, Andrea Celli, Nicola Gatti +1

We focus on the problem of finding an optimal strategy for a team of two players that faces an opponent in an imperfect-information zero-sum extensive-form game. Team members are n…

cs.GT2020

Public Bayesian Persuasion: Being Almost Optimal and Almost Persuasive

Matteo Castiglioni, Andrea Celli, Nicola Gatti

Persuasion studies how an informed principal may influence the behavior of agents by the strategic provision of payoff-relevant information. We focus on the fundamental multi-recei…