Article

A reinforcement learning model of adaptive persistence

2024-07-18

Abstract excerpt

<p>Valuable future outcomes are not always worth waiting for indefinitely. People can adaptively calibrate their willingness to wait for temporally uncertain rewards on the basis of experience with the relevant statistical distribution of delay intervals. Laboratory experiments in humans have documented a broad pattern of adaptive calibration accompanied by substantial individual-level variation. However, the comp...

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Literature Corpus work: 97959d3f-fe58-591b-be9d-97951bfef4fa
DOI: 10.31234/osf.io/37r58

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