Learning to walk with prior knowledge. - Martin Gottwald; Dominik Meyer; Hao Shen 002; Klaus Diepold (AIM, 2017)

Neural Network Training with Safe Regularization in the Null Space of Batch Activations. - Matthias Kissel; Martin Gottwald; Klaus Diepold (ICANN (2), 2020)

The Successful Ingredients of Policy Gradient Algorithms. - Sven Gronauer; Martin Gottwald; Klaus Diepold (IJCAI, 2021)

Analysis and Optimisation of Bellman Residual Errors with Neural Function Approximation. - Martin Gottwald; Sven Gronauer; Hao Shen 002; Klaus Diepold (CoRR, 2021)

Backpropagation Through States: Training Neural Networks with Sequentially Semiseparable Weight Matrices. - Matthias Kissel; Martin Gottwald; Biljana Gjeroska; Philipp Paukner; Klaus Diepold (EPIA, 2022)

Analysing Neuro-Dynamic Programming Through Non-Convex Optimisation. - Martin Gottwald (2024)