L. E. Hunter

Humans can navigate complex graph structures acquired during latent learning

The paper shows humans can infer graph structures from disjoint experiences and link this ability to model-based reinforcement learning.

Excessive deliberation in social anxiety

This study links social anxiety symptoms to increased deliberative evaluation in a reinforcement learning task, suggesting dysregulated mental simulation as a computational mechanism.

A common deliberative process underlies model-based planning and patient intertemporal choice

The paper shows that deliberation in intertemporal choice correlates with multi-step planning in reinforcement learning, suggesting discounting behavior has components related to future planning.

Reference-dependent preferences arise from structure learning

The paper shows that reference points in decision making are discovered through Bayesian structure learning, with changes in outcome distributions inducing new reference points and affecting risk preferences.