| Ultra-High Resolution 3D Imaging of Whole Cells F Huang, G Sirinakis, ES Allgeyer, LK Schroeder, WC Duim, EB Kromann, ... Cell 166 (4), 1028-1040, 2016 | 286 | 2016 |
| 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 | 30 | 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 | 29 | 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 | 28 | 2020 |
| Emergent Escape-Based Flocking Behavior Using Multi-Agent Reinforcement Learning C Hahn, T Phan, T Gabor, L Belzner, C Linnhoff-Popien Artificial Life Conference Proceedings, 598-605, 2019 | 27 | 2019 |
| The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline T Gabor, L Sünkel, F Ritz, T Phan, L Belzner, C Roch, S Feld, ... Proceedings of the IEEE/ACM 42nd international conference on software …, 2020 | 23 | 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 | 22 | 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 | 22 | 2019 |
| Leveraging Statistical Multi-Agent Online Planning with Emergent Value Function Approximation T Phan, L Belzner, T Gabor, K Schmid Proceedings of the 17th International Conference on Autonomous Agents and …, 2018 | 19 | 2018 |
| VAST: Value Function Factorization with Variable Agent Sub-Teams T Phan, F Ritz, L Belzner, P Altmann, T Gabor, C Linnhoff-Popien Advances in Neural Information Processing Systems 34, 24018-24032, 2021 | 16 | 2021 |
| Preparing for the Unexpected: Diversity Improves Planning Resilience in Evolutionary Algorithms T Gabor, L Belzner, T Phan, K Schmid 2018 IEEE international conference on autonomic computing (ICAC), 131-140, 2018 | 16 | 2018 |
| 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 | 14 | 2019 |
| Foraging Swarms Using Multi-Agent Reinforcement Learning C Hahn, F Ritz, P Wikidal, T Phan, T Gabor, C Linnhoff-Popien Artificial Life Conference Proceedings 32, 333-340, 2020 | 12 | 2020 |
| Action Markets in Deep Multi-Agent Reinforcement Learning K Schmid, L Belzner, T Gabor, T Phan Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 12 | 2018 |
| Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling T Phan, L Belzner, M Kiermeier, M Friedrich, K Schmid, C Linnhoff-Popien Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 7941-7948, 2019 | 11 | 2019 |
| Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. T Gabor, J Peter, T Phan, C Meyer, C Linnhoff-Popien IJCAI, 5562-5568, 2019 | 11 | 2019 |
| Towards anomaly detection in reinforcement learning R Müller, S Illium, T Phan, T Haider, C Linnhoff-Popien Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 9 | 2022 |
| 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 | 8 | 2022 |
| Cross Entropy Hyperparameter Optimization for Constrained Problem Hamiltonians Applied to QAOA C Roch, A Impertro, T Phan, T Gabor, S Feld, C Linnhoff-Popien 2020 International Conference on Rebooting Computing (ICRC), 50-57, 2020 | 8 | 2020 |
| Accelerating Evolutionary Construction Tree Extraction via Graph Partitioning M Friedrich, S Feld, T Phan, PA Fayolle arXiv preprint arXiv:2008.03669, 2020 | 7 | 2020 |
Prof. Dr. Claudia Linnhoff-PopienLudwig-Maximilians-University, Mobile and Distributed Systems Group, LMUBestätigte E-Mail-Adresse bei ifi.lmu.de
