Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning D Schwung, S Yuwono, A Schwung, SX Ding Computers & Chemical Engineering 152, 107382, 2021 | 29 | 2021 |
An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation D Schwung, F Csaplar, A Schwung, SX Ding 2017 IEEE 15th international conference on industrial informatics (INDIN …, 2017 | 21 | 2017 |
Distributed self-optimization of modular production units: A state-based potential game approach D Schwung, A Schwung, SX Ding IEEE Transactions on Cybernetics 52 (4), 2174-2185, 2020 | 19 | 2020 |
Self learning in flexible manufacturing units: A reinforcement learning approach D Schwung, JN Reimann, A Schwung, SX Ding 2018 International Conference on Intelligent Systems (IS), 31-38, 2018 | 19 | 2018 |
Self-optimization of energy consumption in complex bulk good processes using reinforcement learning D Schwung, T Kempe, A Schwung, SX Ding 2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017 | 17 | 2017 |
Self-optimization in smart production systems using distributed reinforcement learning D Schwung, M Modali, A Schwung 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC …, 2019 | 15 | 2019 |
PLC-informed distributed game theoretic learning of energy-optimal production policies D Schwung, S Yuwono, A Schwung, SX Ding IEEE Transactions on Cybernetics 53 (9), 5424-5435, 2022 | 13 | 2022 |
On-line energy optimization of hybrid production systems using actor-critic reinforcement learning D Schwung, A Schwung, SX Ding 2018 International Conference on Intelligent Systems (IS), 147-154, 2018 | 13 | 2018 |
Cooperative robot control in flexible manufacturing cells: Centralized vs. distributed approaches A Schwung, D Schwung, MSA Hameed 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 9 | 2019 |
Actor-critic reinforcement learning for energy optimization in hybrid production environments D Schwung, A Schwung, SX Ding International Journal of Computing 18 (4), 360-371, 2019 | 7 | 2019 |
System reconfiguration of modular production units using a SOA-based control structure A Schwung, A Elbel, D Schwung 2017 IEEE 15th International Conference on Industrial Informatics (INDIN …, 2017 | 7 | 2017 |
The impact of communication and memory in state-based potential game-based distributed optimization S Yuwono, A Schwung, D Schwung 2022 IEEE 20th International Conference on Industrial Informatics (INDIN …, 2022 | 6 | 2022 |
Smart manufacturing systems: a game theory based approach D Schwung, JN Reimann, A Schwung, SX Ding Intelligent Systems: Theory, Research and Innovation in Applications, 51-69, 2020 | 4 | 2020 |
Gradient-based learning in state-based potential games for self-learning production systems S Yuwono, M Löppenberg, D Schwung, A Schwung arXiv preprint arXiv:2406.10015, 2024 | 3 | 2024 |
Potential game based distributed optimization of modular production units D Schwung, JN Reimann, A Schwung, SX Ding 2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019 | 3 | 2019 |
Distributed Stackelberg strategies in state-based potential games for autonomous decentralized learning manufacturing systems S Yuwono, D Schwung, A Schwung arXiv preprint arXiv:2408.06397, 2024 | 1 | 2024 |
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems S Yuwono, D Schwung, A Schwung arXiv preprint arXiv:2408.05992, 2024 | 1 | 2024 |
Maschinelle Lernalgorithmen zur Selbstoptiminierung in verteilten Produktionssystemen basierend auf spieltheoretischen Konzepten D Schwung Shaker Verlag, 2021 | 1 | 2021 |
Optimierung in verteilten Produktionssystemen: Maschinelles Lernen mittels Spieltheorie auf der SPS A Schwung, D Schwung, V Patel, SX Ding atp magazin 62 (11-12), 66-77, 2020 | 1 | 2020 |
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games S Yuwono, AK Hussain, D Schwung, A Schwung arXiv preprint arXiv:2410.22912, 2024 | | 2024 |