In this section of the study, our attention was directed towards the utilization of Q-learning to scrutinize the adsorption characteristics of two gases, CH4 and CO2, within two distinct MOFs: Cu- BTC and IRMOF-1. Our investigation encompassed the exploration of various hyperparameters, including the learning rate, the tradeoff between exploration and exploitation (ε), and discount factor, to discern their impact on the learning process. Table offers a comprehensive overview of the hyperparameters employed in the Q-learning exercises, facilitating a systematic evaluation of their efficacy across different adsorbate-adsorbent pairs. The primary objective was to identify the optimal combination of parameters tailored to each adsorbate-adsorbent pair, to find the most suitable parameter set for the study.