The Road Sign Problem Revisited: Handling Delayed Response Tasks with Neural Robot Controllers

Abstract

The 'road sign problem' is a class of delayed response tasks in which an agent's correct turning direction at a T-junction is dependent on a stimulus it has encountered earlier. Neural robot controllers of four different architectures have been evaluated in experiments with six different variations of the problem. The highest reliability was achieved by Extended Sequential Cascaded Networks, a higher-order recurrent neural network architecture.