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Safely Exploring Novel Actions in Recommender Systems via Deployment-Efficient Policy Learning

Fuente: arXiv

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Detalles Bibliográficos
Autores principales:	Kiyohara, Haruka, Narita, Yusuke, Saito, Yuta, Tateno, Kei, Udagawa, Takuma
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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