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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Schiffer, Benjamin, Sellke, Mark
Format:	Preprint
Published:	2025
Subjects:	Computer Science and Game Theory Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2506.01685