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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) <doi:10.48550/arXiv.1902.06565>.
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Package details |
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| Author | Victor Picheny [aut] (ORCID: <https://orcid.org/0000-0002-4948-5542>), Mickael Binois [aut, cre] (ORCID: <https://orcid.org/0000-0002-7225-1680>) |
| Maintainer | Mickael Binois <mickael.binois@inria.fr> |
| License | GPL-3 |
| Version | 1.2.1 |
| URL | https://github.com/vpicheny/GPGame |
| Package repository | View on CRAN |
| Installation |
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