| Manufacturing Control in Job Shop Environments with Reinforcement Learning. V Samsonov, M Kemmerling, M Paegert, D Lütticke, F Sauermann, ... ICAART (2), 589-597, 2021 | 35 | 2021 |
| Towards a flexible process-independent meta-model for production data S Cramer, M Hoffmann, P Schlegel, M Kemmerling, RH Schmitt Procedia CIRP 99, 586-591, 2021 | 13 | 2021 |
| Towards Production-Ready Reinforcement Learning Scheduling Agents: A Hybrid Two-Step Training Approach Based on Discrete-Event Simulations M Kemmerling, V Samsonov, T Janke, D Lütticke, A Gützlaff, ... Simulation in Produktion und Logistik, 325-336, 2021 | 9 | 2021 |
| Investigation of reinforcement learning for shape optimization of profile extrusion dies C Fricke, D Wolff, M Kemmerling, S Elgeti arXiv preprint arXiv:2212.12207, 2022 | 4 | 2022 |
| Towards shape optimization of flow channels in profile extrusion dies using reinforcement learning D Wolff, C Fricke, M Kemmerling, S Elgeti PAMM 22 (1), e202200009, 2023 | 3 | 2023 |
| Beyond games: a systematic review of neural Monte Carlo tree search applications M Kemmerling, D Lütticke, RH Schmitt Applied Intelligence, 1-27, 2023 | 2 | 2023 |
| A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series Z Ma, M Kemmerling, D Buschmann, C Enslin, D Lütticke, RH Schmitt Symmetry 15 (5), 982, 2023 | 2 | 2023 |
| Anomaly Detection in Control Systems With Interval Dissimilarity M Kemmerling, M Combrzynski-Nogala, M Haßler, C Enslin, D Lütticke, ... 2022 Cybernetics & Informatics (K&I), 1-6, 2022 | 2 | 2022 |
| Entscheidungsunterstützung im Produktionsmanagement: Berichte aus dem Exzellenzcluster Internet of Production K Müller, D Buschmann, S Cramer, C Enslin, M Fischer, T Janke, ... Zeitschrift für wirtschaftlichen Fabrikbetrieb 117 (3), 98-103, 2022 | 2 | 2022 |
| A Framework for Online Detection and Reaction to Disturbances on the Shop Floor Using Process Mining and Machine Learning M Fischer, M Pourbafrani, M Kemmerling, V Stich Proceedings of the 1st Conference on Production Systems and Logistics (CPSL …, 2020 | 2 | 2020 |
| Improving Shop Floor-Near Production Management Through Data-Driven Insights RH Schmitt, R Kiesel, D Buschmann, S Cramer, C Enslin, M Fischer, ... Internet of Production: Fundamentals, Methods and Applications, 367-390, 2023 | 1 | 2023 |
| A Hybrid model for hot rolling pass schedule design using reinforcement learning M Kemmerling, N Frahm, C Idzik, A Abdelrazeq, D Bailly, RH Schmitt | | 2024 |
| Decision Support for the Optimization of Continuous Processesusing Digital Shadows C Idzik, D Hilger, N Hosters, M Kemmerling, P Niemietz, L Ortjohann, ... Internet of Production: Fundamentals, Methods and Applications, 281-301, 2023 | | 2023 |
| Reward Shaping for Job Shop Scheduling A Nasuta, M Kemmerling, D Lütticke, RH Schmitt International Conference on Machine Learning, Optimization, and Data Science …, 2023 | | 2023 |
| Fabrication Forecasting of LPBF Processes Through Image Inpainting with In-Situ Monitoring Data HA Zhou, S Zhang, M Kemmerling, D Lütticke, JH Schleifenbaum, ... International Conference on Additive Manufacturing in Products and …, 2023 | | 2023 |
| Job and Operation Entropy in Job Shop Scheduling: A Dataset M Kemmerling, M Combrzynski-Nogala, A Gannouni, A Abdelrazeq, ... ing. grid Preprint Repository, 2023 | | 2023 |
| Reinforcement Learning (RL)-based Shape Optimization of 2D profile extrusion die geometries CD Fricke, D Wolff, M Kemmerling, S Elgeti | | 2023 |
| Investigation of Reinforcement Learning in Shape Optimization CD Fricke, D Wolff, M Kemmerling, S Elgeti | | 2023 |
| Experimental Digital Twin for Job Shops with Transportation Agents A Gannouni, LF Casas Murillo, M Kemmerling, A Abdelrazeq, RH Schmitt International Conference on Learning and Intelligent Optimization, 363-377, 2023 | | 2023 |
| Enhanced Reinforcement Learning-Based Shape Optimization with Flow Field Information CD Fricke, D Wolff, M Kemmerling, S Elgeti | | 2023 |
