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Lenz Belzner
Lenz Belzner
Technische Hochschule Ingolstadt
Verified email at ifi.lmu.de - Homepage
Title
Cited by
Cited by
Year
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
3542018
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
3342016
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
1402018
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
412023
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
322021
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
312019
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
302014
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
272019
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
242020
OnPlan: A framework for simulation-based online planning
L Belzner, R Hennicker, M Wirsing
Formal Aspects of Component Software: 12th International Conference, FACS …, 2016
232016
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
222020
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
222019
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
192018
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
192017
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
192016
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
172021
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
172018
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
132018
Genealogical distance as a diversity estimate in evolutionary algorithms
T Gabor, L Belzner
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017
132017
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
112019
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