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. doi:10.1007/s10898-018-0688-0. doi:10.48550/arXiv.1902.06565.
- Version1.2.0
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release01/23/2022
Documentation
Team
Victor Picheny
Mickael Binois
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 168 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,328 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 37 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports9 packages
- Suggests2 packages
- Linking To1 package