Article

Evolving choice hysteresis in reinforcement learning: comparing the adaptive value of positivity bias and gradual perseveration

2024-09-16

Abstract excerpt

<p>The tendency of repeating past choices more often than expected from the history of outcomes has been repeatedly empirically observed in reinforcement learning experiments. It can be explained by at least two computational processes: asymmetric update and (gradual) choice perseveration. A recent meta-analysis showed that both mechanisms are detectable in human reinforcement learning. However, while their descri...

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Literature Corpus work: 665483d5-b131-55db-8291-3f32ae7fa1c8
DOI: 10.31234/osf.io/zprxe

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