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Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Schiffer, Benjamin, Sellke, Mark
Formato:	Preprint
Publicado:	2025
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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