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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.1 |
rolling source/ R- | GPGame_1.2.1.tar.gz |
61.3 KiB |
1.2.1 |
rolling linux/jammy R-4.5 | GPGame_1.2.1.tar.gz |
214.2 KiB |
1.2.1 |
rolling linux/noble R-4.5 | GPGame_1.2.1.tar.gz |
215.7 KiB |
1.2.1 |
latest source/ R- | GPGame_1.2.1.tar.gz |
61.3 KiB |
1.2.1 |
latest linux/jammy R-4.5 | GPGame_1.2.1.tar.gz |
214.2 KiB |
1.2.1 |
latest linux/noble R-4.5 | GPGame_1.2.1.tar.gz |
215.7 KiB |
1.2.1 |
2026-04-23 source/ R- | GPGame_1.2.1.tar.gz |
61.3 KiB |
1.2.1 |
2026-04-09 windows/windows R-4.5 | GPGame_1.2.1.zip |
533.3 KiB |
1.2.0 |
2025-04-20 source/ R- | GPGame_1.2.0.tar.gz |
50.6 KiB |