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Hanabi

The Hanabi dataset is a multi-agent learning challenge for AI research. It is a cooperative game of imperfect information for two to five players, where players must coordinate to efficiently reveal information to their teammates.

Data and Resources

Cite this as

Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling (2024). Dataset: Hanabi. https://doi.org/10.57702/nbb0eque

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1016/j.artint.2019.103216
Author Nolan Bard
More Authors
Jakob N. Foerster
Sarath Chandar
Neil Burch
Marc Lanctot
H. Francis Song
Emilio Parisotto
Vincent Dumoulin
Subhodeep Moitra
Edward Hughes
Iain Dunning
Shibl Mourad
Hugo Larochelle
Marc G. Bellemare
Michael Bowling
Homepage https://arxiv.org/abs/1902.06075