Publications

Papers

• 2025-09: “MLPro 2.0 - Online machine learning in Python”, Machine Learning with Applications, DOI: 10.1016/j.mlwa.2025.100715

• 2025-07: “Online-adaptive PID control using Reinforcement Learning”, IEEE CoDIT, DOI: 10.1109/CoDIT66093.2025.11321229

• 2025-05: “Online-adaptive Data Stream Processing via Cascaded and Reverse Adaptation”, IEEE ICPS, DOI: 10.1109/ICPS65515.2025.11087907

• 2024-12: “MLPro-GT-game theory and dynamic games modeling in Python”, SoftwareX, DOI: 10.1016/j.softx.2024.101956

• 2023-12: “MLPro-MPPS - A Versatile and Configurable Production Systems Simulator in Python”, IEEE ONCON, DOI: 10.1109/ONCON60463.2023.10431280

• 2023-05: “MLPro-MPPS—A high-performance simulation framework for customizable production systems”, Software Impacts, DOI: 10.1016/j.simpa.2023.100509

• 2022-12: “MLPro–An integrative middleware framework for standardized machine learning tasks in Python”, Software Impacts, DOI: 10.1016/j.simpa.2022.100421

• 2022-09: “MLPro 1.0 - Standardized reinforcement learning and game theory in Python”, Machine Learning with Applications, DOI: 10.1016/j.mlwa.2022.100341

Code Ocean capsules

• 2022-06: “MLPro - Reinforcement Learning - Demo of Advanced Training with Stagnation Detection”, Code Ocean, DOI: 10.24433/CO.9151382.v1

• 2022-06: “MLPro - Reinforcement Learning - Demo of Training UR5 ROS Environment”, Code Ocean, DOI: 10.24433/CO.6279818.v1

GitHub repository

• “Github repository MLPro”, Zenodo, DOI: 10.5281/zenodo.6653484