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Axioms for rational reinforcement learning

Sunehag, Peter; Hutter, Marcus


We provide a formal, simple and intuitive theory of rational decision making including sequential decisions that affect the environment. The theory has a geometric flavor, which makes the arguments easy to visualize and understand. Our theory is for complete decision makers, which means that they have a complete set of preferences. Our main result shows that a complete rational decision maker implicitly has a probabilistic model of the environment. We have a countable version of this result...[Show more]

CollectionsANU Research Publications
Date published: 2011-10
Type: Conference paper
Book Title: Algorithmic learning theory : 22nd international conference, ALT 2011, Espoo, Finland, October 5-7, 2011 : proceedings
DOI: 10.1007/978-3-642-24412-4_27


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