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://jalyttlers.shop/product-category/candleholder/