Axioms for rational reinforcement learning
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]
|Collections||ANU Research Publications|
|Book Title:||Algorithmic learning theory : 22nd international conference, ALT 2011, Espoo, Finland, October 5-7, 2011 : proceedings|
|Sunehag and Hutter Axioms for Rational Reinforcement Learning 2011.pdf||125.2 kB||Adobe PDF|
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