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Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Xuan, Yueqing, Sokol, Kacper, Sanderson, Mark, Chan, Jeffrey
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
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