Sequential strategies for finding a game equilibrium are proposed in a black-box setting (expensive pay-off evaluations, no derivatives). The algorithm handles noiseless or noisy evaluations. Two acquisition functions are available. Graphical outputs can be generated automatically. V. Picheny, M. Binois, A. Habbal (2018)
GPGame: Solving Complex Game problems using Gaussian processes
This R package provides tools for finding game equilibria in a black-box setting (expensive pay-off evaluations, no derivatives). Two game setups are considered: Nash games and Kalai-Smorodinski games. Handles noiseless or noisy evaluations. Graphical outputs can be generated automatically.
For the stable version: http://cran.r-project.org/package=GPGame
This the development version