1. A robotic apparatus, comprising: one or more processors configured to execute computer program modules, the computer program modules being executable to effectuate a neural network, the neural network being characterized by a configuration vector, the configuration vector comprising a combination of at least a portion of a first parent vector and at least a portion of second parent vector; wherein: the first parent vector is based on an operation of a first neural network of a first parent in accordance with a learning process, the operation of the first neural network being characterized by a first network configuration vector configured based on the first parent achieving a first task; the second parent vector is based on an operation of a second neural network of a second parent in accordance with a learning process, the operation of the second network being characterized by a second network configuration vector configured based on the second parent achieving a second task; and the combination is based on a selection received from at least one agent responsive to the first parent achieving the first task and the second parent achieving the second task, the selection being indicative of the first neural network and the second neural network.