Dorothea Schwung

According to our database, Dorothea Schwung authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies.

Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding

IEEE Trans. Cybern., September, 2023

2022

Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach.

Dorothea Schwung, Andreas Schwung, Steven X. Ding

IEEE Trans. Cybern., 2022

The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization.

Steve Yuwono, Andreas Schwung, Dorothea Schwung

Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021

Maschinelle Lernalgorithmen zur Selbstoptimierung in verteilten Produktionssystemen basierend auf spieltheoretischen Konzepten.

Dorothea Schwung

PhD thesis, 2021

Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning.

Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding

Comput. Chem. Eng., 2021

2019

Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning.

Dorothea Schwung, Madhav Modali, Andreas Schwung

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches.

Andreas Schwung, Dorothea Schwung, Mohammed Sharafath Abdul Hameed

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Potential Game based Distributed Optimization of Modular Production Units.

Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

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.

Dorothea Schwung, Andreas Schwung, Steven X. Ding

Proceedings of the 9th IEEE International Conference on Intelligent Systems, 2018

Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach.

Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding

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.

Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017

System reconfiguration of modular production units using a SOA-based control structure.

Andreas Schwung, Alexander Elbel, Dorothea Schwung

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.

Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding

Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017