| Multi-agent deep reinforcement learning: a survey S Gronauer, K Diepold Artificial Intelligence Review 55 (2), 895-943, 2022 | 495 | 2022 |
| Bullet-safety-gym: A framework for constrained reinforcement learning S Gronauer | 17 | 2022 |
| Using simulation optimization to improve zero-shot policy transfer of quadrotors S Gronauer, M Kissel, L Sacchetto, M Korte, K Diepold 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 7 | 2022 |
| The Successful Ingredients of Policy Gradient Algorithms S Gronauer, M Gottwald, K Diepold Thirtieth International Joint Conference on Artificial Intelligence (IJCAI …, 2021 | 6 | 2021 |
| Analysis and optimisation of bellman residual errors with neural function approximation M Gottwald, S Gronauer, H Shen, K Diepold arXiv preprint arXiv:2106.08774, 2021 | 3 | 2021 |
| Exploiting structures in weight matrices for efficient real-time drone control with neural networks M Kissel, S Gronauer, M Korte, L Sacchetto, K Diepold EPIA Conference on Artificial Intelligence, 525-536, 2022 | 2 | 2022 |
| Reinforcement Learning with Ensemble Model Predictive Safety Certification S Gronauer, T Haider, FS da Roza, K Diepold arXiv preprint arXiv:2402.04182, 2024 | 1 | 2024 |
| Comparing Quadrotor Control Policies for Zero-Shot Reinforcement Learning under Uncertainty and Partial Observability S Gronauer, D Stümke, K Diepold 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 1 | 2023 |
| Offline Reinforcement Learning for Quadrotor Control: Overcoming the Ground Effect L Sacchetto, M Korte, S Gronauer, M Kissel, K Diepold 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 1 | 2023 |
| Data science for the environment K Diepold, S Gronauer, M Kissel, MA Tnani | 1 | 2022 |
| Trend Reports about Artificial Intelligence for 6G telecommunication S Gronauer, K Diepold, MA Tnani, M Zwick | | 2022 |
| Causality in Machine Learning K Diepold, S Gronauer, M Kissel | | 2020 |
| Emotion for Robots: A Collection of Trend Reports K Diepold, S Gronauer, M Kissel | | 2019 |
| The Unchartered Waters of Strong AI S Gronauer, F Kreutmayr, D Krockenberger, A Ostertag, K Pfeiffer Research Paths Towards Thinking AI, 81, 0 | | |
Klaus DiepoldTechnical University of Munich, Dept. Computer Engineering在 tum.de 的电子邮件经过验证
