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RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Li, Boning, Fang, Zhixuan, Huang, Longbo
Formato:	Preprint
Publicado:	2024
Materias:	Computer Science and Game Theory Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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