| Optimization of global production scheduling with deep reinforcement learning B Waschneck, A Reichstaller, L Belzner, T Altenmüller, T Bauernhansl, ... Procedia Cirp 72, 1264-1269, 2018 | 344 | 2018 |
| A simulation-based architecture for smart cyber-physical systems T Gabor, L Belzner, M Kiermeier, MT Beck, A Neitz 2016 IEEE international conference on autonomic computing (ICAC), 374-379, 2016 | 323 | 2016 |
| Deep reinforcement learning for semiconductor production scheduling B Waschneck, A Reichstaller, L Belzner, T Altenmüller, T Bauernhansl, ... 2018 29th annual SEMI advanced semiconductor manufacturing conference (ASMC …, 2018 | 139 | 2018 |
| 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 |
| Reasoning (on) service component ensembles in rewriting logic L Belzner, R De Nicola, A Vandin, M Wirsing Specification, Algebra, and Software: Essays Dedicated to Kokichi Futatsugi …, 2014 | 30 | 2014 |
| 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 | 28 | 2019 |
| 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 |
| Large language model assisted software engineering: prospects, challenges, and a case study L Belzner, T Gabor, M Wirsing International Conference on Bridging the Gap between AI and Reality, 355-374, 2023 | 23 | 2023 |
| 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 |
| OnPlan: A framework for simulation-based online planning L Belzner, R Hennicker, M Wirsing Formal Aspects of Component Software: 12th International Conference, FACS …, 2016 | 23 | 2016 |
| 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 arXiv preprint arXiv:1804.06311, 2018 | 19 | 2018 |
| Qualitative assessment of recurrent human motion A Ebert, MT Beck, A Mattausch, L Belzner, C Linnhoff-Popien 2017 25th European Signal Processing Conference (EUSIPCO), 306-310, 2017 | 19 | 2017 |
| Collective autonomic systems: towards engineering principles and their foundations L Belzner, M Hölzl, N Koch, M Wirsing Transactions on Foundations for Mastering Change I, 180-200, 2016 | 19 | 2016 |
| 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 |
| 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 | 15 | 2021 |
| Inheritance-based diversity measures for explicit convergence control in evolutionary algorithms T Gabor, L Belzner, C Linnhoff-Popien Proceedings of the Genetic and Evolutionary Computation Conference, 841-848, 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 | 12 | 2018 |
| Genealogical distance as a diversity estimate in evolutionary algorithms T Gabor, L Belzner Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 12 | 2017 |
Thomas GaborLMU MunichVerified email at ifi.lmu.de
