Steve Yuwono

Orcid: 0000-0001-7570-2726

According to our database1, Steve Yuwono authored at least 14 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
MLPro-GT-game theory and dynamic games modeling in Python.
SoftwareX, 2024

Dynamic robot routing optimization: State-space decomposition for operations research-informed reinforcement learning.
Robotics Comput. Integr. Manuf., 2024

Self-optimization in distributed manufacturing systems using Modular State-based Stackelberg Games.
CoRR, 2024

Distributed Stackelberg Strategies in State-based Potential Games for Autonomous Decentralized Learning Manufacturing Systems.
CoRR, 2024

Transfer learning of state-based potential games for process optimization in decentralized manufacturing systems.
CoRR, 2024

Gradient-based Learning in State-based Potential Games for Self-Learning Production Systems.
CoRR, 2024

2023
PLC-Informed Distributed Game Theoretic Learning of Energy-Optimal Production Policies.
IEEE Trans. Cybern., September, 2023

MLPro-MPPS - A high-performance simulation framework for customizable production systems.
Softw. Impacts, May, 2023

Model Predictive Control with Adaptive PLC-based Policy on Low Dimensional State Representation for Industrial Applications.
Proceedings of the 31st Mediterranean Conference on Control and Automatio, 2023

Integration of ABB Robot Manipulators and Robot Operating System for Industrial Automation.
Proceedings of the 21st IEEE International Conference on Industrial Informatics, 2023

A Model-Based Deep Learning Approach for Self-Learning in Smart Production Systems.
Proceedings of the 28th IEEE International Conference on Emerging Technologies and Factory Automation, 2023

2022
MLPro - An integrative middleware framework for standardized machine learning tasks in Python.
Softw. Impacts, December, 2022

The Impact of Communication and Memory in State-Based Potential Game-based Distributed Optimization.
Proceedings of the 20th IEEE International Conference on Industrial Informatics, 2022

2021
Decentralized learning of energy optimal production policies using PLC-informed reinforcement learning.
Comput. Chem. Eng., 2021


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