2022
DOI: 10.1101/2022.02.25.482039
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Flexible Control as Surrogate Reward or Dynamic Reward Maximization

Abstract: The utility of a given experience, like interacting with a particular friend or tasting a particular food, fluctuates continually according to homeostatic principles. Consequently, to maximize reward, an individual must be able to escape or attain outcomes as preferences change, by switching between actions. Recent work on human and artificial intelligence has defined such control in information theoretic terms. However, information theoretic measures do not necessarily correspond to an agent(&apos)s abi… Show more

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