Hanabi

doi:doi:10.57702/nbb0eque

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.

BibTex:

@dataset{Nolan_Bard_and_Jakob_N_Foerster_and_Sarath_Chandar_and_Neil_Burch_and_Marc_Lanctot_and_H_Francis_Song_and_Emilio_Parisotto_and_Vincent_Dumoulin_and_Subhodeep_Moitra_and_Edward_Hughes_and_Iain_Dunning_and_Shibl_Mourad_and_Hugo_Larochelle_and_Marc_G_Bellemare_and_Michael_Bowling_2024,
    abstract = {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.},
    author = {Nolan Bard and Jakob N. Foerster and Sarath Chandar and Neil Burch and Marc Lanctot and H. Francis Song and Emilio Parisotto and Vincent Dumoulin and Subhodeep Moitra and Edward Hughes and Iain Dunning and Shibl Mourad and Hugo Larochelle and Marc G. Bellemare and Michael Bowling},
    doi = {10.57702/nbb0eque},
    institution = {No Organization},
    keyword = {'Cooperative Games', 'Hanabi', 'Imperfect Information', 'Multi-Agent Learning'},
    month = {dec},
    publisher = {TIB},
    title = {Hanabi},
    url = {https://service.tib.eu/ldmservice/dataset/hanabi},
    year = {2024}
}