ML Anthology

Analyzing Games with a Variable Number of Players

Madelyn Gatchel
AAAI 2021 pp. 15960-15961
doi:10.1609/AAAI.V35I18.17976 /aaai/2021/gatchel2021aaai-analyzing/

Abstract

We 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.

PDF AAAI Semantic Scholar

Cite

Text

Gatchel. "Analyzing Games with a Variable Number of Players." AAAI Conference on Artificial Intelligence, 2021. doi:10.1609/AAAI.V35I18.17976

Markdown

[Gatchel. "Analyzing Games with a Variable Number of Players." AAAI Conference on Artificial Intelligence, 2021.](https://mlanthology.org/aaai/2021/gatchel2021aaai-analyzing/) doi:10.1609/AAAI.V35I18.17976

BibTeX

@inproceedings{gatchel2021aaai-analyzing,
  title     = {{Analyzing Games with a Variable Number of Players}},
  author    = {Gatchel, Madelyn},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {15960-15961},
  doi       = {10.1609/AAAI.V35I18.17976},
  url       = {https://mlanthology.org/aaai/2021/gatchel2021aaai-analyzing/}
}