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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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Detalles Bibliográficos
Autores principales: Blüml, Jannis, Czech, Johannes, Kersting, Kristian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213697/
https://www.ncbi.nlm.nih.gov/pubmed/37251273
http://dx.doi.org/10.3389/frai.2023.1014561

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