AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong

In recent years, deep neural networks for strategy games have made significant progress. AlphaZero-like frameworks which combine Monte-Carlo tree search with reinforcement learning have been successfully applied to numerous games with perfect information. However, they have not been developed for do...

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Principais autores:	Jannis Blüml, Johannes Czech, Kristian Kersting
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Frontiers Media S.A. 2023-05-01
סדרה:	Frontiers in Artificial Intelligence
נושאים:	imperfect information games deep neural networks reinforcement learning AlphaZero Monte-Carlo tree search perfect information Monte-Carlo
גישה מקוונת:	https://www.frontiersin.org/articles/10.3389/frai.2023.1014561/full
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!