Retrospective model-based inference guides model-free credit assignment

The reinforcement learning literature suggests decisions are based on a model-free system, operating retrospectively, and a model-based system, operating prospectively. Here, the authors show that a model-based retrospective inference of a reward’s cause, guides model-free credit-assignment.

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Detalles Bibliográficos
Autores principales: Rani Moran, Mehdi Keramati, Peter Dayan, Raymond J. Dolan
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2019
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Acceso en línea:https://doaj.org/article/ca9bae169c454436895a7d3764634701
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