Figure illustrates the iterative application of our biased sampling method for exhaustively exploring and identifying new states on the PES. This process integrates the training of the Skewencoder and the generation of the harmonic wall with respect to the CV in the latent space. The parameter n iter represents the number of iterations for which the simulation runs while keeping κ constant. To improve efficiency, the algorithm can be parallelized by running multiple replicas with different values of κ, allowing fine-tuning through simultaneous exploration.