Dorothea Schwung

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Temporal Difference

Production System

Reinforcement Learning

Top Venues

IEEE Trans. Cybern.

IEEE Conf. on Intelligent Systems

Publications

Steve Yuwono, Marlon Löppenberg, Dorothea Schwung, Andreas Schwung
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. CoRR (2024)
Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies. IEEE Trans. Cybern. 53 (9) (2023)
Dorothea Schwung, Andreas Schwung, Steven X. Ding
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach. IEEE Trans. Cybern. 52 (4) (2022)
Steve Yuwono, Andreas Schwung, Dorothea Schwung
The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization. INDIN (2022)
Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning. Comput. Chem. Eng. 152 (2021)
Andreas Schwung, Dorothea Schwung, Mohammed Sharafath Abdul Hameed
Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches. INDIN (2019)
Dorothea Schwung, Andreas Schwung, Steven X. Ding
Actor-Critic Reinforcement Learning for Energy Optimization in Hybrid production Environments. Int. J. Comput. 18 (2019)
Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
Potential Game based Distributed Optimization of Modular Production Units. INDIN (2019)
Dorothea Schwung, Madhav Modali, Andreas Schwung
Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning. SMC (2019)
Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach. IEEE Conf. on Intelligent Systems (2018)
Dorothea Schwung, Andreas Schwung, Steven X. Ding
On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning. IEEE Conf. on Intelligent Systems (2018)
Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding
Self-optimization of energy consumption in complex bulk good processes using reinforcement learning. INDIN (2017)
Andreas Schwung, Alexander Elbel, Dorothea Schwung
System reconfiguration of modular production units using a SOA-based control structure. INDIN (2017)
Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding
An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation. INDIN (2017)