20 citations · 69 across the 50 of their papers we have counts for
4 papers · 1 filter
Learning Probably Approximately Correct Maximin Strategies in Simulation-Based Games with Infinite Strategy Spaces
Alberto Marchesi, Francesco Trovò, Nicola Gatti
We tackle the problem of learning equilibria in simulation-based games. In such games, the players' utility functions cannot be described analytically, as they are given through a…
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…
Leadership in Congestion Games: Multiple User Classes and Non-Singleton Actions (Extended Version)
Alberto Marchesi, Matteo Castiglioni, Nicola Gatti
We study the problem of finding Stackelberg equilibria in games with a massive number of players. So far, the only known game instances in which the problem is solved in polynomial…
Be a Leader or Become a Follower: The Strategy to Commit to with Multiple Leaders (Extended Version)
Matteo Castiglioni, Alberto Marchesi, Nicola Gatti
We study the problem of computing correlated strategies to commit to in games with multiple leaders and followers. To the best of our knowledge, this problem is widely unexplored s…