Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning

The brain dynamically arbitrates between two model-based and model-free reinforcement learning (RL). Here, the authors show that participants tended to increase model-based control in response to increasing task complexity, but resorted to model-free when both uncertainty and task complexity were hi...

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Autores principales:	Dongjae Kim, Geon Yeong Park, John P. O′Doherty, Sang Wan Lee
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a966c6e9a9d94f03aa0fe7722aa4c2e6
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id	oai:doaj.org-article:a966c6e9a9d94f03aa0fe7722aa4c2e6
record_format	dspace
spelling	oai:doaj.org-article:a966c6e9a9d94f03aa0fe7722aa4c2e62021-12-02T15:36:02ZTask complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning10.1038/s41467-019-13632-12041-1723https://doaj.org/article/a966c6e9a9d94f03aa0fe7722aa4c2e62019-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13632-1https://doaj.org/toc/2041-1723The brain dynamically arbitrates between two model-based and model-free reinforcement learning (RL). Here, the authors show that participants tended to increase model-based control in response to increasing task complexity, but resorted to model-free when both uncertainty and task complexity were high.Dongjae KimGeon Yeong ParkJohn P. O′DohertySang Wan LeeNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Dongjae Kim Geon Yeong Park John P. O′Doherty Sang Wan Lee Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning
description	The brain dynamically arbitrates between two model-based and model-free reinforcement learning (RL). Here, the authors show that participants tended to increase model-based control in response to increasing task complexity, but resorted to model-free when both uncertainty and task complexity were high.
format	article
author	Dongjae Kim Geon Yeong Park John P. O′Doherty Sang Wan Lee
author_facet	Dongjae Kim Geon Yeong Park John P. O′Doherty Sang Wan Lee
author_sort	Dongjae Kim
title	Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning
title_short	Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning
title_full	Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning
title_fullStr	Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning
title_full_unstemmed	Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning
title_sort	task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/a966c6e9a9d94f03aa0fe7722aa4c2e6
work_keys_str_mv	AT dongjaekim taskcomplexityinteractswithstatespaceuncertaintyinthearbitrationbetweenmodelbasedandmodelfreelearning AT geonyeongpark taskcomplexityinteractswithstatespaceuncertaintyinthearbitrationbetweenmodelbasedandmodelfreelearning AT johnpodoherty taskcomplexityinteractswithstatespaceuncertaintyinthearbitrationbetweenmodelbasedandmodelfreelearning AT sangwanlee taskcomplexityinteractswithstatespaceuncertaintyinthearbitrationbetweenmodelbasedandmodelfreelearning
_version_	1718386374146523136

Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning

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