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) <doi:10.1007/s10898-018-0688-0>. M. Binois, V. Picheny, P. Taillandier, A. Habbal (2020) <doi:10.48550/arXiv.1902.06565>.
Version: 1.2.0 Imports: Rcpp (≥ 0.12.5), DiceKriging, GPareto, KrigInv, DiceDesign, MASS, mnormt, mvtnorm, methods, matrixStats LinkingTo: Rcpp Suggests: DiceOptim, testthat Published: 2022-01-23 DOI: 10.32614/CRAN.package.GPGame Author: Victor Picheny [aut, cre], Mickael Binois [aut] Maintainer: Victor Picheny <victor.picheny at inra.fr> BugReports: https://github.com/vpicheny/GPGame/issues License: GPL-3 URL: https://github.com/vpicheny/GPGame NeedsCompilation: yes Materials: README NEWS CRAN checks: GPGame results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=GPGame to link to this page.
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