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)

Exploiting Structures in Weight Matrices for Efficient Real-Time Drone Control with Neural Networks. - Matthias Kissel; Sven Gronauer; Mathias Korte; Luca Sacchetto; Klaus Diepold (EPIA, 2022)

Using Simulation Optimization to Improve Zero-shot Policy Transfer of Quadrotors. - Sven Gronauer; Matthias Kissel; Luca Sacchetto; Mathias Korte; Klaus Diepold (IROS, 2022)

Multi-agent deep reinforcement learning: a survey. - Sven Gronauer; Klaus Diepold (Artif. Intell. Rev., 2022)

Comparing Quadrotor Control Policies for Zero-Shot Reinforcement Learning under Uncertainty and Partial Observability. - Sven Gronauer; Daniel Stümke; Klaus Diepold (IROS, 2023)

Offline Reinforcement Learning for Quadrotor Control: Overcoming the Ground Effect. - Luca Sacchetto; Mathias Korte; Sven Gronauer; Matthias Kissel; Klaus Diepold (IROS, 2023)

Reinforcement Learning with Ensemble Model Predictive Safety Certification. - Sven Gronauer; Tom Haider; Felippe Schmoeller da Roza; Klaus Diepold (AAMAS, 2024)

Patient-Specific Modeling of Daily Activity Patterns for Unsupervised Detection of Psychotic and Non-Psychotic Relapses. - Alice Hein; Sven Gronauer; Klaus Diepold (ICASSP Workshops, 2024)