Reinforcement learning across development: What insights can we draw from a decade of research?

K Nussenbaum, CA Hartley - Developmental cognitive neuroscience, 2019‏ - Elsevier
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 …

How working memory and reinforcement learning are intertwined: A cognitive, neural, and computational perspective

AH Yoo, AGE Collins - Journal of cognitive neuroscience, 2022‏ - direct.mit.edu
Reinforcement learning and working memory are two core processes of human cognition
and are often considered cognitively, neuroscientifically, and algorithmically distinct. Here …

The interpretation of computational model parameters depends on the context

MK Eckstein, SL Master, L **a, RE Dahl, L Wilbrecht… - Elife, 2022‏ - elifesciences.org
Reinforcement Learning (RL) models have revolutionized the cognitive and brain sciences,
promising to explain behavior from simple conditioning to complex problem solving, to shed …

[HTML][HTML] Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during …

TU Hauser, R Iannaccone, S Walitza, D Brandeis… - NeuroImage, 2015‏ - Elsevier
Adolescence is associated with quickly changing environmental demands which require
excellent adaptive skills and high cognitive flexibility. Feedback-guided adaptive learning …

The computational development of reinforcement learning during adolescence

S Palminteri, EJ Kilford, G Coricelli… - PLoS computational …, 2016‏ - journals.plos.org
Adolescence is a period of life characterised by changes in learning and decision-making.
Learning and decision-making do not rely on a unitary system, but instead require the …

Adolescent-to-adult gains in cognitive flexibility are adaptively supported by reward sensitivity, exploration, and neural variability

AC Parr, VJ Sydnor, FJ Calabro, B Luna - Current Opinion in Behavioral …, 2024‏ - Elsevier
Highlights•Different forms of cognitive flexibility show dissociable developmental
trajectories.•An adolescent-specific mode of flexibility scaffolds adult-like cognitive …

What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience

MK Eckstein, L Wilbrecht, AGE Collins - Current opinion in behavioral …, 2021‏ - Elsevier
Highlights•'Reinforcement learning'(RL) refers to different concepts in machine learning,
psychology, and neuroscience.•In psychology and neuroscience, RL models have provided …

[HTML][HTML] Social learning across adolescence: A Bayesian neurocognitive perspective

L Hofmans, W van den Bos - Developmental Cognitive Neuroscience, 2022‏ - Elsevier
Adolescence is a period of social re-orientation in which we are generally more prone to
peer influence and the updating of our beliefs based on social information, also called social …

Adolescent brain development and contextual influences: A decade in review

A Galván - Journal of Research on Adolescence, 2021‏ - Wiley Online Library
Adolescence is a developmental period characterized by substantial psychological,
biological, and neurobiological changes. This review discusses the past decade of research …

Expecting the unexpected: a review of learning under uncertainty across development

S Topel, I Ma, J Sleutels, H van Steenbergen… - Cognitive, Affective, & …, 2023‏ - Springer
Many of our decisions take place under uncertainty. To successfully navigate the
environment, individuals need to estimate the degree of uncertainty and adapt their …