We applied this approach to investigate the influence of solvent molecules in the reaction between CP and MVK in water and methanol. The resulting MLPs enable us to efficiently obtain accurate PESs and FESs for these reactions. Consideration of explicit water solvent leads to the formation of a short-lived intermediate, revealing the interplay between hydrogen bond interactions and hydrophobic effects in chemical reactions. The results emphasise the importance of incorporating explicit solvation in the modelling of chemical processes to provide a more realistic representation of experimental conditions. This work applies the SOAP approach, which is based on 3-body features, for the descriptor-based selectors. Although we demonstrated the advantages of using SOAP-based selectors in automated AL, these selectors may face challenges when applied to highly complex systems due to their geometrical incompleteness. In such cases, descriptors with higher-order features, such as ACE, would serve as a suitable replacement for the SOAP descriptors within the same framework. Another potential limitation arises from the locality assumption used in the SOAP. This means that the descriptor-based selectors may be unable to differentiate between chemical environments that only differ in a long-range region beyond the descriptor cut-off. In such cases, employing a larger cut-off or combination of short-range and long-range descriptors would be beneficial. The use of both injective and concise descriptors, as well as the development of long-range MLPs, are areas currently being explored. In future work, we aim to update the descriptor-based selectors following these advancements.