Forschung
- Reinforcement Learning
- Game Theory with Engineering Applications
- Self-Optimizing Production Systems
- Development of Machine Learning Framework
Projekte
- MLPro - A Synoptic Framework for Standardized Machine Learning Tasks in Python
- MLPro-MPPS - A Customizable Multi-Purpose Production Systems in Python
Publikationen
2023
S. Yuwono and A. Schwung, " Model-based learning on state-based potential games for distributed self-optimization of manufacturing systems," Journal of Manufacturing Systems
S. Yuwono and A. Schwung, " A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems," 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
M. R. Diprasetya, S. Yuwono, M. Löppenberg, and A. Schwung, " Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation," 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
S. Yuwono and A. Schwung, " Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications," 2023 31st Mediterranean Conference on Control and Automation (MED)
S. Yuwono, M. Löppenberg, D. Arend, M. R. Diprasetya, and A. Schwung, " MLPro-MPPS — A high-performance simulation framework for customizable production systems," Software Impacts
2022
D. Arend, M. R. Diprasetya, S. Yuwono, and A. Schwung, " MLPro–An integrative middleware framework for standardized machine learning tasks in Python," Software Impacts
S. Yuwono, D. Schwung, and A. Schwung, " The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization", 2022 IEEE 20th International Conference on Industrial Informatics (INDIN)
D. Schwung, S. Yuwono, A. Schwung, and S. Ding, " PLC-informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies," IEEE Transactions on Cybernetics
D. Arend, S. Yuwono, M. R. Diprasetya, and A. Schwung, " MLPro 1.0 - Standardized reinforcement learning and game theory in Python," Machine Learning with Applications
2021
D. Schwung, S. Yuwono, A. Schwung, and S. Ding, “ Decentralized Learning of Energy Optimal Production Policies using PLC-Informed Reinforcement Learning,” Computers & Chemical Engineering