Figure illustrates the progression of exploration on the model PESs over selected iterations, showing how the system approaches new states. The blue points represent samples from the incremental dataset, which aggregates data from all previous and current iterations to form the global training dataset for the Autoencoder's reconstruction loss. In contrast, the red points correspond to samples from the current iteration, constituting the local training dataset for the skewness loss. Sampling results from specific consecutive iterations are presented based on the aforementioned criteria.