Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts. - Patrik Hammersborg; Inga Strümke (CoRR, 2022)

Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models. - Patrik Hammersborg; Inga Strümke (CoRR, 2023)

Information based explanation methods for deep learning agents - with applications on large open-source chess models. - Patrik Hammersborg; Inga Strümke (CoRR, 2023)