Navigating the landscape of multiplayer games

Multiplayer games can be used as testbeds for the development of learning algorithms for artificial intelligence. Omidshafiei et al. show how to characterize and compare such games using a graph-based approach, generating new games that could potentially be interesting for training in a curriculum.

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Autores principales:	Shayegan Omidshafiei, Karl Tuyls, Wojciech M. Czarnecki, Francisco C. Santos, Mark Rowland, Jerome Connor, Daniel Hennes, Paul Muller, Julien Pérolat, Bart De Vylder, Audrunas Gruslys, Rémi Munos
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/8b989203e5394b88a97b79b18683e8ca
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id	oai:doaj.org-article:8b989203e5394b88a97b79b18683e8ca
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spelling	oai:doaj.org-article:8b989203e5394b88a97b79b18683e8ca2021-12-02T14:40:28ZNavigating the landscape of multiplayer games10.1038/s41467-020-19244-42041-1723https://doaj.org/article/8b989203e5394b88a97b79b18683e8ca2020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19244-4https://doaj.org/toc/2041-1723Multiplayer games can be used as testbeds for the development of learning algorithms for artificial intelligence. Omidshafiei et al. show how to characterize and compare such games using a graph-based approach, generating new games that could potentially be interesting for training in a curriculum.Shayegan OmidshafieiKarl TuylsWojciech M. CzarneckiFrancisco C. SantosMark RowlandJerome ConnorDaniel HennesPaul MullerJulien PérolatBart De VylderAudrunas GruslysRémi MunosNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-17 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Shayegan Omidshafiei Karl Tuyls Wojciech M. Czarnecki Francisco C. Santos Mark Rowland Jerome Connor Daniel Hennes Paul Muller Julien Pérolat Bart De Vylder Audrunas Gruslys Rémi Munos Navigating the landscape of multiplayer games
description	Multiplayer games can be used as testbeds for the development of learning algorithms for artificial intelligence. Omidshafiei et al. show how to characterize and compare such games using a graph-based approach, generating new games that could potentially be interesting for training in a curriculum.
format	article
author	Shayegan Omidshafiei Karl Tuyls Wojciech M. Czarnecki Francisco C. Santos Mark Rowland Jerome Connor Daniel Hennes Paul Muller Julien Pérolat Bart De Vylder Audrunas Gruslys Rémi Munos
author_facet	Shayegan Omidshafiei Karl Tuyls Wojciech M. Czarnecki Francisco C. Santos Mark Rowland Jerome Connor Daniel Hennes Paul Muller Julien Pérolat Bart De Vylder Audrunas Gruslys Rémi Munos
author_sort	Shayegan Omidshafiei
title	Navigating the landscape of multiplayer games
title_short	Navigating the landscape of multiplayer games
title_full	Navigating the landscape of multiplayer games
title_fullStr	Navigating the landscape of multiplayer games
title_full_unstemmed	Navigating the landscape of multiplayer games
title_sort	navigating the landscape of multiplayer games
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/8b989203e5394b88a97b79b18683e8ca
work_keys_str_mv	AT shayeganomidshafiei navigatingthelandscapeofmultiplayergames AT karltuyls navigatingthelandscapeofmultiplayergames AT wojciechmczarnecki navigatingthelandscapeofmultiplayergames AT franciscocsantos navigatingthelandscapeofmultiplayergames AT markrowland navigatingthelandscapeofmultiplayergames AT jeromeconnor navigatingthelandscapeofmultiplayergames AT danielhennes navigatingthelandscapeofmultiplayergames AT paulmuller navigatingthelandscapeofmultiplayergames AT julienperolat navigatingthelandscapeofmultiplayergames AT bartdevylder navigatingthelandscapeofmultiplayergames AT audrunasgruslys navigatingthelandscapeofmultiplayergames AT remimunos navigatingthelandscapeofmultiplayergames
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Navigating the landscape of multiplayer games

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