20 citations · 38 across the 11 of their papers we have counts for
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cs.AI2019★ 4 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.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.AI2017
Computational Results for Extensive-Form Adversarial Team Games
Andrea Celli, Nicola Gatti
We provide, to the best of our knowledge, the first computational study of extensive-form adversarial team games. These games are sequential, zero-sum games in which a team of play…