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{
            
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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Nolan Bard",
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  "author": "Nolan Bard",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [],
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  "citation": [],
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.1016/j.artint.2019.103216",
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  "defined_in": "https://doi.org/10.1016/j.artint.2019.103216",
            
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  "doi": "10.57702/nbb0eque",
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  "doi": "10.57702/nbb0eque",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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  "doi_publisher": "TIB",
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  "doi_publisher": "TIB",
            
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  "domain": "https://service.tib.eu/ldmservice",
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  "domain": "https://service.tib.eu/ldmservice",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Jakob N. Foerster",
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      "extra_author": "Jakob N. Foerster",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Sarath Chandar",
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      "extra_author": "Sarath Chandar",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Neil Burch",
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      "extra_author": "Neil Burch",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Marc Lanctot",
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      "extra_author": "Marc Lanctot",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "H. Francis Song",
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      "extra_author": "H. Francis Song",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Emilio Parisotto",
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      "extra_author": "Emilio Parisotto",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Vincent Dumoulin",
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      "extra_author": "Vincent Dumoulin",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Subhodeep Moitra",
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      "extra_author": "Subhodeep Moitra",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Edward Hughes",
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      "extra_author": "Edward Hughes",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Iain Dunning",
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      "extra_author": "Iain Dunning",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Shibl Mourad",
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      "extra_author": "Shibl Mourad",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Hugo Larochelle",
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      "extra_author": "Hugo Larochelle",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Marc G. Bellemare",
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      "extra_author": "Marc G. Bellemare",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Michael Bowling",
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      "extra_author": "Michael Bowling",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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    }
            
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  ],
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      "name": "cooperative-games",
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      "name": "cooperative-games",
            
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      "title": "Cooperative Games"
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      "title": "Cooperative Games"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Multi-Agent Learning",
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      "display_name": "Multi-Agent Learning",
            
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      "name": "multi-agent-learning",
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      "name": "multi-agent-learning",
            
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      "title": "Multi-Agent Learning"
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  "name": "hanabi",
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  "name": "hanabi",
            
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  "notes": "The Hanabi dataset is a multi-agent learning challenge for 
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  "notes": "The Hanabi dataset is a multi-agent learning challenge for 
            
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AI research. It is a cooperative game of imperfect information for two 
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AI research. It is a cooperative game of imperfect information for two 
            
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to five players, where players must coordinate to efficiently reveal 
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to five players, where players must coordinate to efficiently reveal 
            
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information to their teammates.",
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information to their teammates.",
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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      "display_name": "Hanabi",
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      "display_name": "Hanabi",
            
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      "id": "8490f3a5-b96f-462b-9e6e-f25bc5238a8b",
            
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      "name": "Imperfect Information",
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      "name": "Imperfect Information",
            
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      "vocabulary_id": null
            
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    },
            
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    {
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    {
            
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      "display_name": "Multi-Agent Learning",
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      "display_name": "Multi-Agent Learning",
            
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      "id": "6b45886d-663e-477a-a608-588fd6cfb0d4",
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      "id": "6b45886d-663e-477a-a608-588fd6cfb0d4",
            
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      "name": "Multi-Agent Learning",
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      "name": "Multi-Agent Learning",
            
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      "vocabulary_id": null
            
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  ],
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  ],
            
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  "title": "Hanabi",
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  "title": "Hanabi",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}