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arXiv · 1905.04154

Markov perfect equilibria in non-stationary mean-field games

Deepanshu Vasal
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Abstract

In this paper, we consider both finite and infinite horizon discounted dynamic mean-field games where there is a large population of homogeneous players sequentially making strategic decisions and each player is affected by other players through an aggregate population state. Each player has a private type that only she observes. Such games have been studied in the literature under simplifying assumption that population state dynamics are stationary. In this paper, we consider non-stationary population state dynamics and present a novel backward recursive algorithm to compute Markov perfect equilibrium (MPE) that depend on both, a player's private type, and current (dynamic) population state. Using this algorithm, we study a security problem in cyberphysical system where infected nodes put negative externality on the system, and each node makes a decision to get vaccinated. We numerically compute MPE of the game.

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Deepanshu Vasal. 2019-05-10. Markov perfect equilibria in non-stationary mean-field games. https://arxiv.org/abs/1905.04154

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