Dorothea Schwung

25 papers B 1C 10Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Integrating Deep Model-Based Learning With Modular State-Based Stackelberg Games for Self-Optimizing Distributed Production Systems.
IEEE Trans. Cybern.
Steve Yuwono, Andreas Schwung, Dorothea Schwung
2025 J jnl
Distributed Stackelberg Strategies in State-Based Potential Games for Autonomous Decentralized Learning Manufacturing Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Steve Yuwono, Dorothea Schwung, Andreas Schwung
2025 C conf
Online-adaptive PID control using Reinforcement Learning.
CoDIT
Detlef Arend, Amerik Toni Singh Padda, Andreas Schwung, Dorothea Schwung
2025 J jnl
Real Time Self-Tuning Adaptive Controllers on Temperature Control Loops using Event-based Game Theory.
CoRR
Steve Yuwono, Muhammad Uzair Rana, Dorothea Schwung, Andreas Schwung
2024 J jnl
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems.
CoRR
Steve Yuwono, Dorothea Schwung, Andreas Schwung
2024 C conf
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems.
IECON
Steve Yuwono, Marlon Löppenberg, Dorothea Schwung, Andreas Schwung
2024 J jnl
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems.
CoRR
Steve Yuwono, Marlon Löppenberg, Dorothea Schwung, Andreas Schwung
2024 C conf
Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks.
CoDIT
Rizky M. Diprasetya, Ali Nafih Pullani, Andreas Schwung, Dorothea Schwung
2024 J jnl
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games.
CoRR
Steve Yuwono, Ahmar Kamal Hussain, Dorothea Schwung, Andreas Schwung
2024 C conf
Semi-Supervised Anomaly Detection in the TinyML Domain Through Multi-Target Few-Shot Domain Adaptation.
ETFA
Johannes Kühnel, Timo Eißmann, Christian Wiede, Dorothea Schwung, Anton Grabmaier
2024 J jnl
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems.
CoRR
Steve Yuwono, Dorothea Schwung, Andreas Schwung
2023 J jnl
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies.
IEEE Trans. Cybern.
Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding
2022 J jnl
Distributed Self-Optimization of Modular Production Units: A State-Based Potential Game Approach.
IEEE Trans. Cybern.
Dorothea Schwung, Andreas Schwung, Steven X. Ding
2022 C conf
The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization.
INDIN
Steve Yuwono, Andreas Schwung, Dorothea Schwung
2021 J jnl
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning.
Comput. Chem. Eng.
Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding
2021 — —
Maschinelle Lernalgorithmen zur Selbstoptimierung in verteilten Produktionssystemen basierend auf spieltheoretischen Konzepten.
Dorothea Schwung
2019 J jnl
Actor-Critic Reinforcement Learning for Energy Optimization in Hybrid production Environments.
Int. J. Comput.
Dorothea Schwung, Andreas Schwung, Steven X. Ding
2019 C conf
Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches.
INDIN
Andreas Schwung, Dorothea Schwung, Mohammed Sharafath Abdul Hameed
2019 C conf
Potential Game based Distributed Optimization of Modular Production Units.
INDIN
Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
2019 B conf
Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning.
SMC
Dorothea Schwung, Madhav Modali, Andreas Schwung
2018 — conf
On-line Energy Optimization of Hybrid Production Systems Using Actor-Critic Reinforcement Learning.
IEEE Conf. on Intelligent Systems
Dorothea Schwung, Andreas Schwung, Steven X. Ding
2018 — conf
Self Learning in Flexible Manufacturing Units: A Reinforcement Learning Approach.
IEEE Conf. on Intelligent Systems
Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding
2017 C conf
An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation.
INDIN
Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding
2017 C conf
Self-optimization of energy consumption in complex bulk good processes using reinforcement learning.
INDIN
Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding
2017 C conf
System reconfiguration of modular production units using a SOA-based control structure.
INDIN
Andreas Schwung, Alexander Elbel, Dorothea Schwung