Construct · 1 fields · 1 citations
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In computational neuroscience, model-based versus model-free learning refers to two routes to choice: planning with an internal model of outcomes versus relying on cached values from past reward, arbitrated by their uncertainty. This meaning comes from Daw (2005) in Nature Neuroscience.[1]
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