GPGame: Solving Complex Game Problems using Gaussian Processes

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.

Version: 1.1.0
Imports: Rcpp (≥ 0.12.5), DiceKriging, GPareto, KrigInv, DiceDesign, MASS, mnormt, mvtnorm, methods
LinkingTo: Rcpp
Suggests: DiceOptim
Published: 2018-03-22
Author: Victor Picheny, Mickael Binois
Maintainer: Victor Picheny <victor.picheny at inra.fr>
License: GPL-3
NeedsCompilation: yes
Materials: NEWS
CRAN checks: GPGame results

Downloads:

Reference manual: GPGame.pdf
Package source: GPGame_1.1.0.tar.gz
Windows binaries: r-prerelease: GPGame_1.1.0.zip, r-release: GPGame_1.1.0.zip, r-oldrel: GPGame_1.1.0.zip
macOS binaries: r-prerelease: GPGame_1.1.0.tgz, r-release: GPGame_1.1.0.tgz, r-oldrel: GPGame_1.1.0.tgz
Old sources: GPGame archive

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