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Uncovering the ‘state’: tracing the hidden state representations that structure learning and decision-making
We review the abstract concept of a ‘state’ – an internal representation posited by reinforcement learning theories to be used by an agent, whether animal, human or artificial, to summarize the features of the external and internal environment that are relevant for future behavior on a particular ta...
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| Publicat a: | Behav Processes |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7388561/ https://ncbi.nlm.nih.gov/pubmed/31381985 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.beproc.2019.103891 |
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