Nothing
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. V. Picheny, M. Binois, A. Habbal (2018) <doi:10.1007/s10898-018-0688-0>. M. Binois, V. Picheny, P. Taillandier, A. Habbal (2020) <arXiv:1902.06565v2>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Victor Picheny [aut, cre] (<https://orcid.org/0000-0002-4948-5542>), Mickael Binois [aut] |
| Maintainer | Victor Picheny <victor.picheny@inra.fr> |
| License | GPL-3 |
| Version | 1.2.0 |
| URL | https://github.com/vpicheny/GPGame |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the GPGame package in your browser
Any scripts or data that you put into this service are public.
