| 2025 | CoDIT | Online-adaptive PID control using Reinforcement Learning. | Detlef Arend, Amerik Toni Singh Padda, Andreas Schwung, Dorothea Schwung |
| 2024 | CoDIT | Model-based Reinforcement Learning for Sim-to-Real Transfer in Robotics using HTM neural networks. | Rizky M. Diprasetya, Ali Nafih Pullani, Andreas Schwung, Dorothea Schwung |
| 2024 | ETFA | Semi-Supervised Anomaly Detection in the TinyML Domain Through Multi-Target Few-Shot Domain Adaptation. | Johannes Khnel, Timo Eimann, Christian Wiede, Dorothea Schwung, Anton Grabmaier |
| 2024 | IECON | Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. | Steve Yuwono, Marlon Lppenberg, Dorothea Schwung, Andreas Schwung |
| 2022 | INDIN | The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization. | Steve Yuwono, Andreas Schwung, Dorothea Schwung |
| 2019 | INDIN | Potential Game based Distributed Optimization of Modular Production Units. | Dorothea Schwung, Jan Niclas Reimann, Andreas Schwung, Steven X. Ding |
| 2019 | INDIN | Cooperative Robot Control in Flexible Manufacturing Cells: Centralized vs. Distributed Approaches. | Andreas Schwung, Dorothea Schwung, Mohammed Sharafath Abdul Hameed |
| 2019 | SMC | Self-Optimization in Smart Production Systems using Distributed Reinforcement Learning. | Dorothea Schwung, Madhav Modali, Andreas Schwung |
| 2017 | INDIN | An application of reinforcement learning algorithms to industrial multi-robot stations for cooperative handling operation. | Dorothea Schwung, Fabian Csaplar, Andreas Schwung, Steven X. Ding |
| 2017 | INDIN | System reconfiguration of modular production units using a SOA-based control structure. | Andreas Schwung, Alexander Elbel, Dorothea Schwung |
| 2017 | INDIN | Self-optimization of energy consumption in complex bulk good processes using reinforcement learning. | Dorothea Schwung, Tim Kempe, Andreas Schwung, Steven X. Ding |