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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kiyohara, Haruka, Narita, Yusuke, Saito, Yuta, Tateno, Kei, Udagawa, Takuma
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2510.07635