Action subsampling supports policy compression in large action spaces

Abstract excerpt

<p>Real-world decision-making often involves navigating large action spaces with state-dependent action values, taxing the limited cognitive resources at our disposal. While previous studies have explored cognitive constraints on generating action consideration sets or refining state-action mappings (policy complexity), their interplay remains underexplored. In this work, we present a resource-rational framework f...

Topics

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• Catechol O-Methyltransferase
• Learning
• Memory, Short-Term
• Models, Neurological
• Photic Stimulation
• Psychomotor Performance
• Receptors, G-Protein-Coupled
• Reinforcement, Psychology

Identifiers and source

Literature Corpus work

14f33e9e-a3b1-5e26-a9d2-5fc004e78b8a

DOI

10.31234/osf.io/bjt7d