Scaling-up action learning neuro-controllers with GPUs

Neural networks have been used in many different robot motor-control experiments, however, so far the complexity of these neuro-controllers have remained at the similar level. The focus of this paper is to demonstrate that it is possible to scale-up these neuro-robotic controllers with GPUs leading to richer, more realistic and more complex motor control.