Emergence of Prediction by Reinforcement Learning Using a Recurrent Neural Network

Figure 2

Localized input signals. Each input signal responds when the object or agent exists around one specific location in $x$ or $y$ coordinate. This localized representation helps to learn a strong nonlinear mapping.