2 papers
eess.SY2025
Deep Reinforcement Learning in Applied Control: Challenges, Analysis, and Insights
Klinsmann Agyei, Pouria Sarhadi, Daniel Polani
Over the past decade, remarkable progress has been made in adopting deep neural networks to enhance the performance of conventional reinforcement learning. A notable milestone was…
cs.IT2025
An Informational Parsimony Perspective on Probabilistic Symmetries
Hippolyte Charvin, Nicola Catenacci Volpi, Daniel Polani
Extraction of structure, in particular of group symmetries, is increasingly crucial to understanding and building intelligent models. In particular, some information-theoretic mode…