Computational noise in reward-guided learning drives behavioral variability in volatile environments
Computational noise in reward-guided learning drives behavioral variability in volatile environments
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New York: Nature Publishing Group US
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English
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New York: Nature Publishing Group US
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When learning the value of actions in volatile environments, humans often make seemingly irrational decisions that fail to maximize expected value. We reasoned that these ‘non-greedy’ decisions, instead of reflecting information seeking during choice, may be caused by computational noise in the learning of action values. Here using reinforcement le...
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Computational noise in reward-guided learning drives behavioral variability in volatile environments
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TN_cdi_proquest_miscellaneous_2310296356
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2310296356
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ISSN
1097-6256
E-ISSN
1546-1726
DOI
10.1038/s41593-019-0518-9
