The Hanabi challenge: A new frontier for AI research

From the early days of computing, games have been important testbeds for studying how well machines can do sophisticated decision making. In recent years, machine learning has made dramatic advances with artificial agents reaching superhuman performance in challenge domains like Go, Atari, and some...

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Veröffentlicht in:	Artificial intelligence 2020-03, Vol.280, p.103216-19, Article 103216
Hauptverfasser:	Bard, Nolan, Foerster, Jakob N., Chandar, Sarath, Burch, Neil, Lanctot, Marc, Song, H. Francis, Parisotto, Emilio, Dumoulin, Vincent, Moitra, Subhodeep, Hughes, Edward, Dunning, Iain, Mourad, Shibl, Larochelle, Hugo, Bellemare, Marc G., Bowling, Michael
Format:	Artikel
Sprache:	eng
Schlagworte:	Agents (artificial intelligence) Artificial intelligence Challenge paper Checkers Chess Communication Cooperative Decision making Domains Games Imperfect information Machine learning Multi-agent learning Reasoning Reinforcement learning Theory of mind
Online-Zugang:	Volltext
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