LEARNING STABILIZATION ENTROPY: A CONTROL-THEORETIC FRAMEWORK FOR QUANTIFYING TRAINING COMPLEXITY

SSRN Electronic Journal 2026 Preprint Open access

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Authors: Boumediene Hamzi, Marcus Hütter, Yannis Kevrekidis, Houman Owhadi
DOI: 10.2139/ssrn.6792409
Cited by: 0

Fields of Study & Subjects

Machine Learning and Algorithms Neural Networks and Applications Reinforcement Learning in Robotics

Publication details

Journal / source
SSRN Electronic Journal
Publication date
1 January 2026
Language
EN
Document type
Preprint