CRAN/E | GPGame

GPGame

Solving Complex Game Problems using Gaussian Processes

Installation

About

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) .

github.com/vpicheny/GPGame
Bug report File report

Key Metrics

Version 1.2.0
Published 2022-01-23 827 days ago
Needs compilation? yes
License GPL-3
CRAN checks GPGame results

Downloads

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Maintainer

Maintainer

Victor Picheny

victor.picheny@inra.fr

Authors

Victor Picheny

aut / cre

Mickael Binois

aut

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

GPGame archive

Imports

Rcpp ≥ 0.12.5
DiceKriging
GPareto
KrigInv
DiceDesign
MASS
mnormt
mvtnorm
methods
matrixStats

Suggests

DiceOptim
testthat

LinkingTo

Rcpp