Solving Complex Game Problems using Gaussian Processes R package GPGame version 1.2.1 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>. Software Imports: Rcpp (>= 0.12.5), DiceKriging, GPareto, KrigInv, DiceDesign, MASS, mnormt, mvtnorm, methods, matrixStats LinkingTo: Rcpp Suggests: DiceOptim, testthat Mickael Binois <mickael.binois@inria.fr> Comprehensive R Archive Network (CRAN) Victor Picheny [aut] (ORCID: <https://orcid.org/0000-0002-4948-5542>), Mickael Binois [aut, cre] (ORCID: <https://orcid.org/0000-0002-7225-1680>) GPL-3 2025-11-14 application/tgz https://CRAN.R-project.org/package=GPGame doi:10.32614/CRAN.package.GPGame