Article

Discovery and consolidation of analogous reward structure supports generalization in humans

2026-08-03

Abstract excerpt

<p>Humans are remarkably adept at transferring knowledge between experiences, and computational models offer insight into the various strategies humans may employ to optimize behavior. Reinforcement learning models are usually constructed to maximize rewards for a given task but often fail to generalize when the optimal policy changes substantially across contexts. Here, we test empirical predictions of a recent c...

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Literature Corpus work: 5de1ca37-11e2-5c8e-ad56-316f5f06883b
DOI: 10.31234/osf.io/w6vkd_v1

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