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DOI

Paper IEEE CoDIT 2025 - Arend/Singh Padda/Schwung - "Online-adaptive PID control using Reinforcement Learning"

This repository provides the sample program described in Section V. RESULTS AND EXPERIMENTS of the above conference paper.

How to execute

Step 1: Install the required Python packages (stable or latest)

Step 2: Execute the sample program and follow the hints on the screen like this

Experiment with default parameters

video

Result data file

result data file

See also

11th IEEE International Conference on Control, Decision and Information Technologies (CoDIT)

MLPro - the integrative middleware framework for standardized machine learning in Python

South Westphalia University of Applied Sciences, Dept. of Automation Technology and Learning Systems

Contact us

Detlef Arend: email | orcid | researchgate | linkedin

Amerik Toni Singh Padda: email

Andreas Schwung: email | orcid | researchgate

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