Dorothea Schwung
Orcid: 0000-0001-9273-8966
According to our database1,
Dorothea Schwung
authored at least 20 papers
between 2017 and 2024.
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Bibliography
2024
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games.
CoRR, 2024
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems.
CoRR, 2024
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems.
CoRR, 2024
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems.
CoRR, 2024
Semi-Supervised Anomaly Detection in the TinyML Domain Through Multi-Target Few-Shot Domain Adaptation.
Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024
Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks.
Proceedings of the 10th International Conference on Control, 2024
2023
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies.
IEEE Trans. Cybern., September, 2023
2022
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach.
IEEE Trans. Cybern., 2022
The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022
2021
Maschinelle Lernalgorithmen zur Selbstoptimierung in verteilten Produktionssystemen basierend auf spieltheoretischen Konzepten.
PhD thesis, 2021
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning.
Comput. Chem. Eng., 2021
2019
Actor-Critic Reinforcement Learning for Energy Optimization in Hybrid production Environments.
Int. J. Comput., 2019
Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
2018
On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning.
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018
Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018
2017
Self-optimization of energy consumption in complex bulk good processes using reinforcement learning.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
System reconfiguration of modular production units using a SOA-based control structure.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017