On limitations of learning algorithms in competitive environments

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Authors Alexander Y Klimenko, Dimitri A Klimenko arXiv ID 2011.12728 Category cs.AI: Artificial Intelligence Citations 0 Venue arXiv.org Last Checked 4 months ago
Abstract
We discuss conceptual limitations of generic learning algorithms pursuing adversarial goals in competitive environments, and prove that they are subject to limitations that are analogous to the constraints on knowledge imposed by the famous theorems of GΓΆdel and Turing. These limitations are shown to be related to intransitivity, which is commonly present in competitive environments.
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