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Settling the Reward Hypothesis
Published 20 Dec 2022 in cs.AI, cs.LG, math.ST, and stat.TH | (2212.10420v2)
Abstract: The reward hypothesis posits that, "all of what we mean by goals and purposes can be well thought of as maximization of the expected value of the cumulative sum of a received scalar signal (reward)." We aim to fully settle this hypothesis. This will not conclude with a simple affirmation or refutation, but rather specify completely the implicit requirements on goals and purposes under which the hypothesis holds.
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