activity
20092026
most citedLearning to Correlate in Multi-Player General-Sum Sequential Games

20 citations · 145 across the 58 of their papers we have counts for

collaborators
Showing 2020Show all

9 papers · 1 filter

cs.GT2020

Trembling-Hand Perfection and Correlation in Sequential Games

Alberto Marchesi, Nicola Gatti

We initiate the study of trembling-hand perfection in sequential (i.e., extensive-form) games with correlation. We introduce the extensive-form perfect correlated equilibrium (EFPC…

cs.GT2020★ 1 cited

Online Posted Pricing with Unknown Time-Discounted Valuations

Giulia Romano, Gianluca Tartaglia, Alberto Marchesi +1

We study the problem of designing posted-price mechanisms in order to sell a single unit of a single item within a finite period of time. Motivated by real-world problems, such as,…

cs.GT2020

Persuading Voters in District-based Elections

Matteo Castiglioni, Nicola Gatti

We focus on the scenario in which an agent can exploit his information advantage to manipulate the outcome of an election. In particular, we study district-based elections with two…

cs.GT2020★ 3 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.SI2020★ 1 cited

A privacy-preserving tests optimization algorithm for epidemics containment

Alessandro Nuara, Francesco Trovò, Nicola Gatti

The SARS-CoV-2 outbreak changed the everyday life of almost all the people over the world.Currently, we are facing with the problem of containing the spread of the virus both using…

cs.GT2020★ 16 cited

No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium

Andrea Celli, Alberto Marchesi, Gabriele Farina +1

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