Hey! Yes, there are similarities to PBT, but there are a few differences here. Firstly, the mutations implemented with AgileRL are much more dynamic. Rather than only mutating hyperparameters, we’re allowing any part of the algorithm/model to mutate - HPs, network architecture (layers and nodes), activation functions and network weights themselves. We also train the population in one go, and offer efficient learning by sharing experience within the population.