On rankings in multiplayer games with an application to the game of Whist
Alexis Coyette, Charles Modera, Candy Sonveaux, Judicaël Mohet, Francçois-Grégoire Bierwart, Sylverio Pool Marquez, Jarod Ketcha Kouakep, Cédric Simal, Komlan Fiagbe, Violaine Piengeon, Martin Moriamé, Justine Bodart
arXiv:2604.006412.6h-index: 5
AI Analysis
This work addresses ranking challenges in multiplayer games, such as Whist, but appears incremental as it builds on prior models and algorithms.
The authors tackled the problem of ranking players in multiplayer games by extending the Bradley-Terry model and adapting an existing algorithm, demonstrating its application on synthetic and real card game datasets.
We propose a novel extension of the Bradley-Terry model to multiplayer games and adapt a recent algorithm by Newman [1] to our model. We demonstrate the use of our proposed method on synthetic datasets and on a real dataset of games of cards.