Sven Gronauer.Bullet-Safety-Gym: A Framework for Constrained Reinforcement Learning.2022

Gronauer, Sven;Diepold, Klaus.Multi-agent deep reinforcement learning: a survey.Artificial Intelligence Review.2021

Gronauer, Sven;Gottwald, Martin;Diepold, Klaus.The Successful Ingredients of Policy Gradient Algorithms.Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence.International Joint Conferences on Artificial Intelligence Organization.2021

Corletto, Mirko;Kissel, Matthias;Diepold, Klaus.Impact of Real-World Market Conditions on Returns of Deep Learning based Trading Strategies.2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).IEEE.2021

Klaus Diepold, Sven Gronauer, Matthias Kissel.Causality in Machine Learning.2020

Hausamann, Peter;Sinnott, Christian;MacNeilage, Paul R..Positional head-eye tracking outside the lab: an open-source solution.ACM Symposium on Eye Tracking Research and Applications.ACM.2020

Matthias Kissel, Martin Gottwald, Klaus Diepold.Neural Network Training with Safe Regularization in the Null Space of Batch Activations.International Conference on Artificial Neural Networks.2020

Pfeiffer, Jakob;Razouane, Mohamed Ali.Time Series Prediction for Measurements of Electric Power Trains.2020 Forum on Integrated and Sustainable Transportation Systems (FISTS).IEEE.2020

Jakob Pfeiffer.Predicting the present. Time Series Prediction for Measurements of Electric Power Trains..21.Forum ISTS2020 (Forum on Integrated and Sustainable Transportation Systems 2020).2020

Ahmed Ayadi, Jakob Pfeiffer, Mohamed Ali Razouane.Self-Learning Enhancement of Measurement Quality with Artificial Intelligence.TRA VISIONS 2020 Young Researcher Competition.2020