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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

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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

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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