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