TY - CHAP A1 - Schiendorfer, Alexander A1 - Steghöfer, Jan-Philipp A1 - Knapp, Alexander A1 - Nafz, Florian A1 - Reif, Wolfgang ED - Bramer, Max ED - Petridis, Miltos T1 - Constraint Relationships for Soft Constraints T2 - Research and Development in Intelligent Systems XXX: Incorporating Applications and Innovations in Intelligent Systems XXI: Proceedings of AI-2013 UR - https://doi.org/10.1007/978-3-319-02621-3_17 Y1 - 2013 UR - https://doi.org/10.1007/978-3-319-02621-3_17 SN - 978-3-319-02621-3 SP - 241 EP - 255 PB - Springer CY - Cham ER - TY - CHAP A1 - Knapp, Alexander A1 - Schiendorfer, Alexander A1 - Reif, Wolfgang T1 - Quality over Quantity in Soft Constraints T2 - Proceedings: 2014 IEEE 26th International Conference on Tools with Artificial Intelligence: ICTAI 2014 UR - https://doi.org/10.1109/ICTAI.2014.75 Y1 - 2014 UR - https://doi.org/10.1109/ICTAI.2014.75 SN - 978-1-4799-6572-4 SP - 453 EP - 460 PB - IEEE CY - Los Alamitos ER - TY - CHAP A1 - Schiendorfer, Alexander A1 - Knapp, Alexander A1 - Steghöfer, Jan-Philipp A1 - Anders, Gerrit A1 - Siefert, Florian A1 - Reif, Wolfgang ED - De Nicola, Rocco ED - Hennicker, Rolf T1 - Partial Valuation Structures for Qualitative Soft Constraints T2 - Software, Services, and Systems: Essays Dedicated to MartinWirsing on the Occasion of His Retirement from the Chair of Programming and Software Engineering UR - https://doi.org/10.1007/978-3-319-15545-6_10 Y1 - 2015 UR - https://doi.org/10.1007/978-3-319-15545-6_10 SN - 978-3-319-15545-6 SN - 978-3-319-15544-9 SP - 115 EP - 133 PB - Springer CY - Cham ER - TY - JOUR A1 - Schiendorfer, Alexander A1 - Knapp, Alexander A1 - Anders, Gerrit A1 - Reif, Wolfgang T1 - MiniBrass: Soft constraints for MiniZinc JF - Constraints UR - https://doi.org/10.1007/s10601-018-9289-2 KW - Soft constraints KW - Modeling languages KW - MiniZinc Y1 - 2018 UR - https://doi.org/10.1007/s10601-018-9289-2 SN - 1572-9354 VL - 23 IS - 4 SP - 403 EP - 450 PB - Springer CY - Dodrecht ER - TY - JOUR A1 - Waschneck, Bernd A1 - Reichstaller, André A1 - Belzner, Lenz A1 - Altenmüller, Thomas A1 - Bauernhansl, Thomas A1 - Knapp, Alexander A1 - Kyek, Andreas T1 - Optimization of global production scheduling with deep reinforcement learning JF - Procedia CIRP N2 - Industrie 4.0 introduces decentralized, self-organizing and self-learning systems for production control. At the same time, new machine learning algorithms are getting increasingly powerful and solve real world problems. We apply Google DeepMind’s Deep Q Network (DQN) agent algorithm for Reinforcement Learning (RL) to production scheduling to achieve the Industrie 4.0 vision for production control. In an RL environment cooperative DQN agents, which utilize deep neural networks, are trained with user-defined objectives to optimize scheduling. We validate our system with a small factory simulation, which is modeling an abstracted frontend-of-line semiconductor production facility. UR - https://doi.org/10.1016/j.procir.2018.03.212 KW - Production Scheduling KW - Reinforcement Learning KW - Machine Learning in Manufacturing Y1 - 2018 UR - https://doi.org/10.1016/j.procir.2018.03.212 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-15735 SN - 2212-8271 VL - 2018 IS - 72 SP - 1264 EP - 1269 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Posor, Jorrit Enzio A1 - Belzner, Lenz A1 - Knapp, Alexander T1 - Joint Action Learning for Multi-Agent Cooperation using Recurrent Reinforcement Learning JF - Digitale Welt UR - https://doi.org/10.1007/s42354-019-0239-y Y1 - 2019 UR - https://doi.org/10.1007/s42354-019-0239-y SN - 2569-1996 VL - 4 IS - 1 SP - 79 EP - 84 PB - Digitale Welt Academy CY - München ER - TY - CHAP A1 - Waschneck, Bernd A1 - Reichstaller, André A1 - Belzner, Lenz A1 - Altenmüller, Thomas A1 - Bauernhansl, Thomas A1 - Knapp, Alexander A1 - Kyek, Andreas T1 - Deep reinforcement learning for semiconductor production scheduling T2 - 2018 29th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC) UR - https://doi.org/10.1109/ASMC.2018.8373191 KW - Production Scheduling KW - Reinforcement Learning KW - Machine Learning KW - Semiconductor Manufacturing Y1 - 2018 UR - https://doi.org/10.1109/ASMC.2018.8373191 SN - 978-1-5386-3748-7 SN - 2376-6697 SP - 301 EP - 306 PB - IEEE CY - Piscataway ER -