Policy compression is a computational framework that describes how capacity-limited agents trade reward for simpler action policies to reduce cognitive cost. In this study. we present behavioral evidence that humans prefer simpler policies. as predicted by a capacity-limited reinforcement learning model. https://allfixelectricales.shop/product-category/screen-protector/
Human decision making balances reward maximization and policy compression.
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