Recurrent networks are likely to form subnetworks that encode the properties of the agents, hands, and other sensors, to compress and better decode data influenced by the actions of agents, maximising the reward in a given environment, finding the charging station in time while avoiding painful obstacles, and using predictive modelling to plan ahead.