Settling the Reward Hypothesis
Michael Bowling ⋅ John Martin ⋅ David Abel ⋅ Will Dabney
2023 Poster
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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