Article

Characterizing heterogeneity in human reinforcement learning and the arbitration of behavioral control

2024-11-15

Abstract excerpt

<p>The mechanisms by which humans select or arbitrate between different reinforcement-learning (RL) and decision making strategies remain poorly understood. Furthermore, the very nature of the strategies being utilized has come under recent debate. To address these questions we developed a novel variant of the standard two-step decision task and deployed it through multiple large-sample studies. We found that huma...

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Literature Corpus work: f2e35d8f-3a15-5192-8733-eb3a03f9e349
DOI: 10.31234/osf.io/egq3x_v1

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