Population Games with Vector Payoff and Approachability

Dario Bauso () and Thomas Norman
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Dario Bauso: Università di Palermo

A chapter in Computational Management Science, 2016, pp 239-245 from Springer

Abstract: Abstract This paper studies population games with vector payoffs. It provides a new perspective on approachability based on mean-field game theory. The model involves a Hamilton-Jacobi-Bellman equation which describes the best-response of every player given the population distribution and an advection equation, capturing the macroscopic evolution of average payoffs if every player plays its best response.

Keywords: Mixed Strategy; Repeated Game; Vector Payoff; Coalitional Game; Markovian Strategy (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnechp:978-3-319-20430-7_31

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DOI: 10.1007/978-3-319-20430-7_31

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