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Dorothea Schwung
Observed names:
D. Schwung,
Schwung Dorothea,
Schwung, Dorothea
Institution:
Hochschule Düsseldorf University of Applied Sciences
Observed institutions:
South Westphalia University of Applied Sciences,
Hochschule Düsseldorf University of Applied Sciences
ORCID:
0000-0001-9273-8966
Observed ORCID:
0000-0001-9273-8966
OpenAlex ID:
A5002731863
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning
2021
·
Dorothea Schwung
, Steve Yuwono
, et al.
·
Computers & Chemical Engineering
·
31
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach
2020
·
Dorothea Schwung
, Andreas Schwung
, et al.
·
IEEE Transactions on Cybernetics
·
30
Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach
2018
·
Dorothea Schwung
, Jan Niklas Reimann
, et al.
·
IEEE International Conference on Intelligent Systems
·
20
An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation
2017
·
Dorothea Schwung
, Fabian Csaplar
, et al.
·
IEEE International Conference on Industrial Informatics (INDIN)
·
18
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies
2022
·
Dorothea Schwung
, Steve Yuwono
, et al.
·
IEEE Transactions on Cybernetics
·
17
Actor-critic Reinforcement Learning for Energy Optimization in Hybrid Production Environments
2019
·
Dorothea Schwung
, Andreas Schwung
, et al.
·
International Journal of Computing
·
13
PDF
Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches
2019
·
Andreas Schwung
, Dorothea Schwung
, et al.
·
IEEE International Conference on Industrial Informatics (INDIN)
·
13
Self-optimization of energy consumption in complex bulk good processes using reinforcement learning
2017
·
Dorothea Schwung
, Tim Kempe
, et al.
·
IEEE International Conference on Industrial Informatics (INDIN)
·
13
Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning
2019
·
Dorothea Schwung
, Madhav Modali
, et al.
·
Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
·
12
Distributed Stackelberg Strategies in State-Based Potential Games for Autonomous Decentralized Learning Manufacturing Systems
2025
·
Steve Yuwono
, Dorothea Schwung
, et al.
·
IEEE Transactions on Systems Man and Cybernetics Systems
·
11
PDF
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg games
2025
·
Steve Yuwono
, Ahmar Kamal Hussain
, et al.
·
Journal of Manufacturing Systems
·
10
On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning
2018
·
Dorothea Schwung
, Andreas Schwung
, et al.
·
IEEE International Conference on Intelligent Systems
·
10
System reconfiguration of modular production units using a SOA-based control structure
2017
·
Andreas Schwung
, Alexander Elbel
, et al.
·
IEEE International Conference on Industrial Informatics (INDIN)
·
7
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems
2024
·
Steve Yuwono
, Marlon Löppenberg
, et al.
·
Annual Conference of the IEEE Industrial Electronics Society (IECON)
·
6
PDF
The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization
2022
·
Steve Yuwono
, Andreas Schwung
, et al.
·
IEEE International Conference on Industrial Informatics (INDIN)
·
6
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems
2025
·
Steve Yuwono
, Dorothea Schwung
, et al.
·
Computers in Industry
·
5
Potential Game based Distributed Optimization of Modular Production Units
2019
·
Dorothea Schwung
, Jan Niclas Reimann
, et al.
·
IEEE International Conference on Industrial Informatics (INDIN)
·
4
Integrating Deep Model-Based Learning With Modular State-Based Stackelberg Games for Self-Optimizing Distributed Production Systems
2025
·
Steve Yuwono
, Andreas Schwung
, et al.
·
IEEE Transactions on Cybernetics
·
3
Smart Manufacturing Systems: A Game Theory based Approach
2020
·
Dorothea Schwung
, Jan Niclas Reimann
, et al.
·
Studies in computational intelligence
·
3
Optimierung in verteilten Produktionssystemen
2020
·
Andreas Schwung
, Dorothea Schwung
, et al.
·
atp magazin
·
2
Semi-Supervised Anomaly Detection in the TinyML Domain Through Multi-Target Few-Shot Domain Adaptation
2024
·
Johannes Kühnel
, Timo Eißmann
, et al.
·
IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
·
1
Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks
2024
·
M. R. Diprasetya
, A. N. Pullani
, et al.
·
International Conference on Control, Decision and Information Technologies (CoDIT)
·
1
Distributed Optimization of Modular Production Systems using Model-based Reinforcement Learning with Inverse Models
2026
·
Schwung, Andreas
, Yuwono, Steve
, et al.
·
arXiv (Cornell University)
PDF
Event-Driven Trainer Architecture for MARL in ROS2-Compatible Simulations
2026
·
Oliver Wolf
, Andreas Schwung
, et al.
·
International Conference on Control, Decision and Information Technologies (CoDIT)
Sim2Real Policy Transfer in Distributed Systems Using State-Based Potential Games
2026
·
Steve Yuwono
, Rihan Musthafa
, et al.
·
AI for Engineering
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Works count:
29
Citation count:
236
H-index:
10
I10-index:
12
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