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GPGame  

Solving Complex Game Problems using Gaussian Processes
View on CRAN: Click here


Download and install GPGame package within the R console
Install from CRAN:
install.packages("GPGame")

Install from Github:
library("remotes")
install_github("cran/GPGame")

Install by package version:
library("remotes")
install_version("GPGame", "1.2.0")



Attach the package and use:
library("GPGame")
Maintained by
Victor Picheny
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-10
Latest Update: 2022-01-23
Description:
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) . M. Binois, V. Picheny, P. Taillandier, A. Habbal (2020) .
How to cite:
Victor Picheny (2017). GPGame: Solving Complex Game Problems using Gaussian Processes. R package version 1.2.0, https://cran.r-project.org/web/packages/GPGame. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0.0 (2017-06-10 08:17), 1.1.0 (2018-03-22 11:52)
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