Reinforcement learning across development: What insights can we draw from a decade of research?
Abstract
null null The past decade has seen the emergence of the use of reinforcement learning models to study developmental change in value-based learning. It is unclear, however, whether these computational modeling studies, which have employed a wide variety of tasks and model variants, have reached convergent conclusions. In this review, we examine whether the tuning of model parameters that govern different aspects of learning and decision-making...
Paper Details
Title
Reinforcement learning across development: What insights can we draw from a decade of research?
Published Date
Nov 6, 2019
Volume
40
Pages
100733 - 100733
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