We study a generalization of hide and seek game of von Neumann [14], where each player has one or more resources. We characterize the value and Nash equilibria of such games in terms of their unidimensional marginal distributions. We propose a $$\mathcal {O}(n \log (n))$$ time algorithm for computing unidimensional marginal distributions of equilibrium strategies and a quadratic time algorithm for computing mixed strategies given the margins. The characterization allows us to establish a number of interesting qualitative features of equilibria.
CITATION STYLE
Dziubiński, M., & Roy, J. (2018). Hide and seek game with multiple resources. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11059 LNCS, pp. 82–86). Springer Verlag. https://doi.org/10.1007/978-3-319-99660-8_8
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