ReviewTrends in cognitive sciences2019
Holistic Reinforcement Learning: The Role of Structure and Attention.
Review in Trends in cognitive sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 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
54 citing papers in PubMed.
- Modeling decision dynamics disentangles working memory, cognitive control and reinforcement learning and reveals clinical differences.PLoS computational biology · 2026Article
- Automatic value learning results in counterproductive human behavior.Nature communications · 2026Article
- Feasible cognition requires latent state.Biological cybernetics · 2026Article
- Decision-making trades off learned and perceived information.PNAS nexus · 2026Article
- Modulation of feature attention by reward prediction error explains value learning behavior.bioRxiv : the preprint server for biology · 2026Article
- A Resource-Rational Account of Human Eye Movements During Immersive Visual Search.Open mind : discoveries in cognitive science · 2026Article
- An Information-Theoretic Framework for Understanding Learning and Choice Under Uncertainty.Entropy (Basel, Switzerland) · 2025Article
- Neural variability in the default mode network compresses with increasing belief precision during Bayesian inference.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Abstract rule learning promotes cognitive flexibility in complex environments across species.Nature communications · 2025Article
- Gaze cluster analysis reveals heterogeneity in attention allocation and predicts learning outcomes.Scientific reports · 2025Article
- Computational markers show specific deficits for dyslexia and ADHD in complex learning settings.NPJ science of learning · 2025Article
- Negative affect-driven impulsivity as hierarchical model-based overgeneralization.Trends in cognitive sciences · 2025Review
- Reinforcement learning increasingly relates to memory specificity from childhood to adulthood.Nature communications · 2025Article
- Schemas, reinforcement learning and the medial prefrontal cortex.Nature reviews. Neuroscience · 2025Review
- Contributions of Attention to Learning in Multidimensional Reward Environments.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Semantic Anchors Facilitate Task Encoding in Continual Learning.Open mind : discoveries in cognitive science · 2025Article
- Reward Reinforcement Creates Enduring Facilitation of Goal-directed Behavior.Journal of cognitive neuroscience · 2024Article
- Adaptive empathic response selection is sensitive to multiple dimensions of social interaction.Communications psychology · 2024Article
- Linking cognitive strategy, neural mechanism, and movement statistics in group foraging behaviors.Scientific reports · 2024Article
- The cognitive (lateral) hypothalamus.Trends in cognitive sciences · 2024Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Compact representations of the environment allow humans to behave efficiently in a complex world. Reinforcement learning models capture many behavioral and neural effects but do not explain recent findings showing that structure in the environment influences learning. In parallel, Bayesian cognitive models predict how humans learn structured knowledge but do not have a clear neurobiological implementation. We propose an integration of these two model classes in which structured knowledge learned via approximate Bayesian inference acts as a source of selective attention. In turn, selective attention biases reinforcement learning towards relevant dimensions of the environment. An understanding of structure learning will help to resolve the fundamental challenge in decision science: explaining why people make the decisions they do.
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Registered trials
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.