ReviewDevelopmental cognitive neuroscience2019
Reinforcement learning across development: What insights can we draw from a decade of research?
Review in Developmental cognitive neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 99 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
99 citing papers in PubMed.
- An effort recalibration framework for digital media use and cognition.Nature human behaviour · 2026Review
- Video game practice is associated with enhanced value-guided exploitation under probabilistic uncertainty.Psychological research · 2026Article
- A computational model of reward learning and habits on social media.Nature communications · 2026Article
- Reward-specific learning parameters change across normative adolescent development and are blunted in youth with high risk for depression.Journal of child psychology and psychiatry, and allied disciplines · 2026Article
- Decision-making trades off learned and perceived information.PNAS nexus · 2026Article
- Protracted prediction: Neurodevelopment of reward processing in the adolescent cerebellum.bioRxiv : the preprint server for biology · 2026Article
- Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence.bioRxiv : the preprint server for biology · 2026Article
- Trusting Wisely? Developmental Changes in How Children Learn and Adapt to Partner Trustworthiness.Developmental science · 2026Article
- Learning as the unifying mechanism of psychedelic action.Journal of psychopharmacology (Oxford, England) · 2026Review
- Learning to adaptively cooperate through social interactions during childhood and adolescence.NPJ science of learning · 2026Article
- Population-level encoding of task information is stronger in the adolescent compared to adult frontal cortex.Developmental cognitive neuroscience · 2026Article
- A habit and working memory model as an alternative account of human reward-based learning.Nature human behaviour · 2026Article
- Learn how to be effective: neural and computational insights into charity efficiency learning.Social cognitive and affective neuroscience · 2026Article
- Prefrontal cortex development and its implications in mental illness.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Preschoolers' Win-Stay/Lose-Shift Strategy Use in the Children's Gambling Task.Behavioral sciences (Basel, Switzerland) · 2025Article
- Individual differences in how infants change behaviours from spontaneous to instrumental.Communications psychology · 2025Article
- Computational Approaches Reveal Developmental Shifts in Exploratory Play.Developmental science · 2025Article
- Decision-making trades off learned and perceived information.Research square · 2025Article
- An Information-Theoretic Framework for Understanding Learning and Choice Under Uncertainty.Entropy (Basel, Switzerland) · 2025Article
- The relationship between anxious traits and learning about changes in stochasticity and volatility.PLoS computational biology · 2025Article
39 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 processes vary consistently as a function of age, and what neurocognitive developmental changes may account for differences in these parameter estimates across development. We explore whether patterns of developmental change in these estimates are better described by differences in the extent to which individuals adapt their learning processes to the statistics of different environments, or by more static learning biases that emerge across varied contexts. We focus specifically on learning rates and inverse temperature parameter estimates, and find evidence that from childhood to adulthood, individuals become better at optimally weighting recent outcomes during learning across diverse contexts and less exploratory in their value-based decision-making. We provide recommendations for how these two possibilities - and potential alternative accounts - can be tested more directly to build a cohesive body of research that yields greater insight into the development of core learning processes.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.