Abstract:Humans are universal decision makers: we reason causally to understand the world; we act competitively to gain advantage in commerce, games, and war; and we are able to learn to make better decisions through trial and error. Whilst these individual modalities of decision making have been studied for decades in various subfields of AI and ML, there has been commensurately less effort in developing formalisms that unify these various modalities into common framework. In this paper, we propose Universal Decision … Show more
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