Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning. - Dorothea Schwung; Steve Yuwono; Andreas Schwung; Steven X. Ding (Comput. Chem. Eng., 2021)

The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization. - Steve Yuwono; Andreas Schwung; Dorothea Schwung (INDIN, 2022)

MLPro - An integrative middleware framework for standardized machine learning tasks in Python. - Detlef Arend; Mochammad Rizky Diprasetya; Steve Yuwono; Andreas Schwung (Softw. Impacts, 2022)

A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems. - Steve Yuwono; Andreas Schwung (ETFA, 2023)

Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation. - Mochammad Rizky Diprasetya; Steve Yuwono; Marlon Löppenberg; Andreas Schwung (INDIN, 2023)

Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications. - Steve Yuwono; Andreas Schwung (MED, 2023)

MLPro-MPPS - A high-performance simulation framework for customizable production systems. - Steve Yuwono; Marlon Löppenberg; Detlef Arend; Mochammad Rizky Diprasetya; Andreas Schwung (Softw. Impacts, 2023)

PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies. - Dorothea Schwung; Steve Yuwono; Andreas Schwung; Steven X. Ding (IEEE Trans. Cybern., 2023)

Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. - Steve Yuwono; Marlon Löppenberg; Dorothea Schwung; Andreas Schwung (IECON, 2024)

Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems. - Steve Yuwono; Dorothea Schwung; Andreas Schwung (CoRR, 2024)

Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems. - Steve Yuwono; Dorothea Schwung; Andreas Schwung (CoRR, 2024)

Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games. - Steve Yuwono; Ahmar Kamal Hussain; Dorothea Schwung; Andreas Schwung (CoRR, 2024)

Dynamic robot routing optimization: State-space decomposition for operations research-informed reinforcement learning. - Marlon Löppenberg; Steve Yuwono; Mochammad Rizky Diprasetya; Andreas Schwung (Robotics Comput. Integr. Manuf., 2024)

MLPro-GT-game theory and dynamic games modeling in Python. - Steve Yuwono; Detlef Arend; Andreas Schwung (SoftwareX, 2024)

Towards Agile Factory Automation: Integrating ABB Robot Manipulators, 3D Machine Vision Cameras, and Robot Operating System. - Steve Yuwono; Marlon Löppenberg; Jakob Steenweg; Carsten Cruse; Andreas Schwung (ICARA, 2025)

Real Time Self-Tuning Adaptive Controllers on Temperature Control Loops using Event-based Game Theory. - Steve Yuwono; Muhammad Uzair Rana; Dorothea Schwung; Andreas Schwung (CoRR, 2025)