Analyzing Games with a Variable Number of Players
Keywords:Game Theory, Machine Learning, Multiagent Systems
AbstractWe introduce a novel technique that uses a multi-headed neural network to analyze symmetric games with a variable number of players, where the number of participants falls in a specified range. We hypothesize that the payoffs in a game with x players are similar or related to the same game with x + 1 players, given a large value of x. With this hypothesis, we generalize prior work to analyze games with a large, variable number of players.
How to Cite
Gatchel, M. . (2021). Analyzing Games with a Variable Number of Players. Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15960-15961. https://doi.org/10.1609/aaai.v35i18.17976
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