Search Results for author: Tommaso Bianchi

Found 2 papers, 1 papers with code

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

1 code implementation NeurIPS 2019 Andrea Celli, Alberto Marchesi, Tommaso Bianchi, Nicola Gatti

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 socially better outcomes with respect to Nash equilibria, and may be reached through learning dynamics in a decentralized fashion.

Computer Science and Game Theory

Coarse Correlation in Extensive-Form Games

no code implementations26 Aug 2019 Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm

Coarse correlation models strategic interactions of rational agents complemented by a correlation device, that is a mediator that can recommend behavior but not enforce it.

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