System Optimization Using RL Approaches Sample Clauses

System Optimization Using RL Approaches. The purpose of the training phase of the XXXXXX solution is to train optimization sub-systems using the DT driven data. The trained optimization AI thereafter constructs the CPS control in the operational and fine-tunning phase. In the following, we sketch approaches from related work which serve our RL approach as adequate starting points, along with their respective advantages and limitations. Subsequently, we outline our RL approach for the UUV use case.
Sample 1
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