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Causal contextual bandits with one-shot data integration

We study a contextual bandit setting where the agent has access to causal side information, in addition to the ability to perform multiple targeted experiments corresponding to potentially different context-action pairs—simultaneously in one-shot within a budget. This new formalism provides a natura...

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Autori principali: Chandrasekar Subramanian, Balaraman Ravindran
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2024-12-01
Serie:Frontiers in Artificial Intelligence
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Accesso online:https://www.frontiersin.org/articles/10.3389/frai.2024.1346700/full
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