Professor Martin Cripps, UCL

"The Asymptotic Cost of Complexity"
Tuesday, 18 February 2025. 16:00-17:30
Room 141A, Adam Smith Business School

Abstract

We propose a measure of learning efficiency for non-finite state spaces. We characterize the complexity of a learning problem by the metric entropy of its state space. We then describe how learning efficiency is determined by this measure of complexity. This is, then, applied to two models where agents learn high-dimensional states.

Bio

Professor of Economics, UCL


For further information, please contact business-seminar-series@glasgow.ac.uk.

We foster a positive and productive environment for seminars through our Code of conduct.

First published: 15 January 2025