| 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 | 258 | 2016 |
| 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 | 22 | 2019 |
| 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 | 20 | 2021 |
| 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 | 18 | 2020 |
| 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 | 18 | 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 | 18 | 2018 |
| 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 | 17 | 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 | 17 | 2019 |
| 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 | 15 | 2020 |
| 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 | 13 | 2018 |
| 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 | 11 | 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 | 9 | 2019 |
| Foraging swarms using multi-agent reinforcement learning C Hahn, F Ritz, P Wikidal, T Phan, T Gabor, C Linnhoff-Popien ALIFE 2020: The 2020 Conference on Artificial Life, 333-340, 2020 | 8 | 2020 |
| Subgoal-Based Temporal Abstraction in Monte-Carlo Tree Search. T Gabor, J Peter, T Phan, C Meyer, C Linnhoff-Popien IJCAI, 5562-5568, 2019 | 8 | 2019 |
| Distributed policy iteration for scalable approximation of cooperative multi-agent policies T Phan, K Schmid, L Belzner, T Gabor, S Feld, C Linnhoff-Popien arXiv preprint arXiv:1901.08761, 2019 | 7 | 2019 |
| 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 | 6 | 2020 |
| Accelerating evolutionary construction tree extraction via graph partitioning M Friedrich, S Feld, T Phan, PA Fayolle arXiv preprint arXiv:2008.03669, 2020 | 6 | 2020 |
| Nash equilibria in multi-agent swarms C Hahn, T Phan, S Feld, C Roch, F Ritz, A Sedlmeier, T Gabor, ... Icaart: Proceedings of the 12Th International Conference on Agents and …, 2020 | 6 | 2020 |
| A quantum annealing algorithm for finding pure Nash equilibria in graphical games C Roch, T Phan, S Feld, R Müller, T Gabor, C Hahn, C Linnhoff-Popien Computational Science–ICCS 2020: 20th International Conference, Amsterdam …, 2020 | 6 | 2020 |
| 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 | 6 | 2019 |
Thomas GaborLMU MunichBestätigte E-Mail-Adresse bei ifi.lmu.de
