Steve Yuwono

MLPro 1.0—Standardized reinforcement learning and game theory in Python

Mochammad Rizky Diprasetya, Detlef Arend, Steve Yuwono, 2022, Machine Learning with Applications.

Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning

Steven X. Ding, Dorothea Schwung, Andreas Schwung, 2021, Comput. Chem. Eng..

The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization

Steve Yuwono, Andreas Schwung, Dorothea Schwung, 2022, 2022 IEEE 20th International Conference on Industrial Informatics (INDIN).

Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications

Steve Yuwono, Andreas Schwung, 2023, 2023 31st Mediterranean Conference on Control and Automation (MED).

MLPro - An integrative middleware framework for standardized machine learning tasks in Python

Mochammad Rizky Diprasetya, Detlef Arend, Steve Yuwono, 2022, Softw. Impacts.

PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies

S. Ding, Steve Yuwono, Andreas Schwung, 2022, IEEE Transactions on Cybernetics.

Model-based learning on state-based potential games for distributed self-optimization of manufacturing systems

Steve Yuwono, Andreas Schwung, 2023, Journal of Manufacturing Systems.

A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems

Steve Yuwono, Andreas Schwung, 2023, 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA).