logseq/pages/MDE_Intelligence_2023_paper_6.md

type:: REVIEWS tags:: year:: 2023 venue:: MODELS-MDE_Intelligence full-title:: An Internal DSL for Implementing Complex Training Workflows for Model Predictive Contollers date-start:: 04-08-2023 - 12:13 date-submitted:: external-links:: status:: DONE deadline-submission:: 08-08-2023 file::

- [[Highlights]]
	- Machine Learning Model Predictive Controllers
	- ((64d26457-f8cc-4b63-abd5-765a06e2d764))
		- Without an explanatory example it is difficult to follow and understand the details.
- [[Comments]]
	- The paper presents a domain-specific language to develop complex workflows for training model predictive controllers. Even though the problem is clear and the quested solution is currently needed, the paper is ineffective in presenting the solution convincingly. The paper is not always easy to follow, especially because an explanatory and running example is missing.
	- The requirements given in Section 4 are not motivated by a concrete example, and the building components and underlying concepts given in Section 5 are vaguely presented. They would benefit from an illustrative example to refer to during the discussion.
	- The code snippet depicted on the left-hand side of Figure 2 would be better situated earlier in the paper, potentially within the context of outlining the limitations and challenges of existing methodologies. This strategic positioning would empower the authors to more effectively expound upon the intricacies addressed by their proposed solution, as evidenced on the right-hand side of Figure 2.
	- To summarize, even though the paper is about a relevant problem, it has several presentation flaws that compromise the quality of the overall paper.
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