Computation of Correlated Equilibrium with Global-Optimal Expected Social Welfare

Fook Wai Kong (), Polyxeni-Margarita Kleniati () and Berç Rustem ()
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Fook Wai Kong: Imperial College
Polyxeni-Margarita Kleniati: Imperial College
Berç Rustem: Imperial College

Journal of Optimization Theory and Applications, 2012, vol. 153, issue 1, No 14, 237-261

Abstract: Abstract In this paper, we propose an algorithm which computes the correlated equilibrium with global-optimal (i.e., maximum) expected social welfare for single stage polynomial games. We first derive tractable primal/dual semidefinite programming (SDP) relaxations for an infinite-dimensional formulation of correlated equilibria. We give an asymptotic convergence proof, which ensures solving the sequence of relaxations leads to solutions that converge to the correlated equilibrium with the highest expected social welfare. Finally, we give a dedicated sequential SDP algorithm and demonstrate it in a wireless application with numerical results.

Keywords: Correlated equilibria; Noncooperative game; Semidefinite programming; Sum of squares; Polynomial optimization; Communication networks (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10957-012-9988-6

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