This repository implements the Controller RNN from the NAS paper and NASNet paper, using an RL agent to search the space of neural network architectures. The Controller samples actions defining network parameters (kernel size, filters), while a NetworkManager trains generated Keras child networks and computes rewards. The implementation uses StateSpace to define the architecture search space and manages the training loop between controller and child networks.