| Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition T Phan, L Belzner, T Gabor, A Sedlmeier, F Ritz, C Linnhoff-Popien Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11308 …, 2021 | 25 | 2021 |
| Uncertainty-Based Out-of-Distribution Detection in Deep Reinforcement Learning A Sedlmeier, T Gabor, T Phan, L Belzner, C Linnhoff-Popien arXiv preprint arXiv:1901.02219, 2019 | 25 | 2019 |
| Learning and Testing Resilience in Cooperative Multi-Agent Systems T Phan, T Gabor, A Sedlmeier, F Ritz, B Kempter, C Klein, H Sauer, ... Proceedings of the 19th International Conference on Autonomous Agents and …, 2020 | 22 | 2020 |
| The scenario coevolution paradigm: adaptive quality assurance for adaptive systems T Gabor, A Sedlmeier, T Phan, F Ritz, M Kiermeier, L Belzner, B Kempter, ... International Journal on Software Tools for Technology Transfer 22, 457-476, 2020 | 21 | 2020 |
| Uncertainty-Based Out-of-Distribution Classification in Deep Reinforcement Learning A Sedlmeier, T Gabor, T Phan, L Belzner, C Linnhoff-Popien arXiv preprint arXiv:2001.00496, 2019 | 21 | 2019 |
| Visual transformers for primates classification and covid detection S Illium, R Müller, A Sedlmeier, CL Popien arXiv preprint arXiv:2212.10093, 2022 | 13 | 2022 |
| Surgical Mask Detection with Convolutional Neural Networks and Data Augmentations on Spectrograms S Illium, R Müller, A Sedlmeier, C Linnhoff-Popien arXiv preprint arXiv:2008.04590, 2020 | 12 | 2020 |
| Policy entropy for out-of-distribution classification A Sedlmeier, R Müller, S Illium, C Linnhoff-Popien Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 12 | 2020 |
| Scenario co-evolution for reinforcement learning on a grid world smart factory domain T Gabor, A Sedlmeier, M Kiermeier, T Phan, M Henrich, M Pichlmair, ... Proceedings of the Genetic and Evolutionary Computation Conference, 898-906, 2019 | 11 | 2019 |
| Adapting quality assurance to adaptive systems: the scenario coevolution paradigm T Gabor, M Kiermeier, A Sedlmeier, B Kempter, C Klein, H Sauer, ... Leveraging Applications of Formal Methods, Verification and Validation …, 2018 | 9 | 2018 |
| Learning indoor space perception A Sedlmeier, S Feld Journal of Location Based Services 12 (3-4), 179-214, 2018 | 8 | 2018 |
| Capturing dependencies within machine learning via a formal process model F Ritz, T Phan, A Sedlmeier, P Altmann, J Wieghardt, R Schmid, H Sauer, ... International Symposium on Leveraging Applications of Formal Methods, 249-265, 2022 | 7 | 2022 |
| Nash Equilibria in Multi-Agent Swarms. C Hahn, T Phan, S Feld, C Roch, F Ritz, A Sedlmeier, T Gabor, ... ICAART (1), 234-241, 2020 | 6 | 2020 |
| Discovering and learning recurring structures in building floor plans A Sedlmeier, S Feld Progress in Location Based Services 2018 14, 151-170, 2018 | 6 | 2018 |
| SAT-MARL: Specification Aware Training in Multi-Agent Reinforcement Learning F Ritz, T Phan, R Müller, T Gabor, A Sedlmeier, M Zeller, J Wieghardt, ... arXiv preprint arXiv:2012.07949, 2020 | 4 | 2020 |
| Specification aware multi-agent reinforcement learning F Ritz, T Phan, R Müller, T Gabor, A Sedlmeier, M Zeller, J Wieghardt, ... International Conference on Agents and Artificial Intelligence, 3-21, 2021 | 2 | 2021 |
| Evolutionary Generation of Primitive-Based Mesh Abstractions M Friedrich, FG Cuevas, A Sedlmeier, A Ebert Václav Skala-UNION Agency, 2019 | 2 | 2019 |
| Trajectory annotation using sequences of spatial perception S Feld, S Illium, A Sedlmeier, L Belzner Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances …, 2018 | 1 | 2018 |
| Distributed group and rights management for mobile ad hoc networks M Dürr, M Duchon, K Wiesner, A Sedlmeier 2011 4th Joint IFIP Wireless and Mobile Networking Conference (WMNC 2011), 1-8, 2011 | 1 | 2011 |
| Modellierung von Unsicherheit und Wahrnehmung für Lernende Systeme A Sedlmeier lmu, 2023 | | 2023 |
Prof. Dr. Claudia Linnhoff-PopienLudwig-Maximilians-University, Mobile and Distributed Systems Group, LMUBestätigte E-Mail-Adresse bei ifi.lmu.de
