HIGHLIGHTS
- What: The paper seeks to investigate potential solutions based on artificial Intelligence (AI) to complement "slower" traditional optimization methods. The paper seeks to build on theoretical DT concepts and develop a working DT method for CRMS. The approach is evaluated in an abstracted Generally, this field of optimization methods for PPC applications is still in the initial stages of development, compared to the traditional methods, where quasi-standards for the optimization settings and algorithms exist. The authors demonstrate that the Q-learning agent has learned to balance both objectives, to achieve a better overall simulation evaluated score . . .

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