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Steve Yuwono
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2020 – today
- 2024
- [j6]Marlon Löppenberg, Steve Yuwono, Mochammad Rizky Diprasetya, Andreas Schwung:
Dynamic robot routing optimization: State-space decomposition for operations research-informed reinforcement learning. Robotics Comput. Integr. Manuf. 90: 102812 (2024) - [j5]Steve Yuwono, Detlef Arend, Andreas Schwung:
MLPro-GT-game theory and dynamic games modeling in Python. SoftwareX 28: 101956 (2024) - [i4]Steve Yuwono, Marlon Löppenberg, Dorothea Schwung, Andreas Schwung:
Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems. CoRR abs/2406.10015 (2024) - [i3]Steve Yuwono, Dorothea Schwung, Andreas Schwung:
Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems. CoRR abs/2408.05992 (2024) - [i2]Steve Yuwono, Dorothea Schwung, Andreas Schwung:
Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems. CoRR abs/2408.06397 (2024) - [i1]Steve Yuwono, Ahmar Kamal Hussain, Dorothea Schwung, Andreas Schwung:
Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games. CoRR abs/2410.22912 (2024) - 2023
- [j4]Steve Yuwono, Marlon Löppenberg, Detlef Arend, Mochammad Rizky Diprasetya, Andreas Schwung:
MLPro-MPPS - A high-performance simulation framework for customizable production systems. Softw. Impacts 16: 100509 (2023) - [j3]Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding:
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies. IEEE Trans. Cybern. 53(9): 5424-5435 (2023) - [c4]Steve Yuwono, Andreas Schwung:
A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems. ETFA 2023: 1-8 - [c3]Mochammad Rizky Diprasetya, Steve Yuwono, Marlon Löppenberg, Andreas Schwung:
Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation. INDIN 2023: 1-7 - [c2]Steve Yuwono, Andreas Schwung:
Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications. MED 2023: 883-889 - 2022
- [j2]Detlef Arend, Mochammad Rizky Diprasetya, Steve Yuwono, Andreas Schwung:
MLPro - An integrative middleware framework for standardized machine learning tasks in Python. Softw. Impacts 14: 100421 (2022) - [c1]Steve Yuwono, Andreas Schwung, Dorothea Schwung:
The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization. INDIN 2022: 335-340 - 2021
- [j1]Dorothea Schwung, Steve Yuwono, Andreas Schwung, Steven X. Ding:
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning. Comput. Chem. Eng. 152: 107382 (2021)
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