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

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. In this paper, we focus on coarse correlated equilibria (CCEs) in sequential games... (read more)

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  • COMPUTER SCIENCE AND GAME THEORY