☆ 4.7 Article

Within the scope of prediction: Shaping intrinsic rewards via evaluating uncertainty

EXPERT SYSTEMS WITH APPLICATIONS (2022)

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Reward is enough

David Silver et al.

Summary: In this article, the hypothesis is made that intelligence and its associated abilities serve the maximization of reward, driving behavior that exhibits various abilities. It is suggested that agents learning through trial and error to maximize reward could exhibit most, if not all, of these abilities, potentially constituting a solution to artificial general intelligence.

ARTIFICIAL INTELLIGENCE (2021)

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Editorial Material Computer Science, Artificial Intelligence