Attempts to use RMLPs in simulating combustion systems started a while ago, but few have been successful until recently. The trade-off between accuracy and cost observed in traditional methods has manifested in RMLPs differently. Advanced ML algorithms have been employed to achieve highly accurate predictions of PES, but this has not only increased the computational cost of running such models but also the cost of preparing high-quality training sets, making RMLPs for combustion less viable.