Empowerment as a Task-Agnostic Measure of Domain Competence [thesis]
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Author

Robert Edge (Ph.D. 2021)

Abstract

A ubiquitous challenge for humans and learning agents is the ability to measure and forecast how competent they can become in a specific domain. The problems created by the inability to forecast and measure achievable competence are manifold. We don't know who will be good at which jobs-we don't know which problems a machine learning architecture can solve, we don't know whether other agents might be better, etc.

Link to full paper

Empowerment as a Task-Agnostic Measure of Domain Competence

Keywords

machine learning, intelligent agents

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