Article

Learning from other minds: An optimistic critique of reinforcement learning models of social learning

2020-08-26

Abstract excerpt

<p>In the past decade, reinforcement learning models have been productively applied to examine neural signatures that track the value of social information over repeated observations. However, by operationalizing social information as a lean, reward-predictive cue, this literature underestimates the richness of human social learning: Humans readily go beyond action-outcome mappings and can draw flexible inferences...

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Literature Corpus work: 8c355275-3761-53ae-ba08-8fb6ede8133c
DOI: 10.31234/osf.io/q4bxr

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