  This book chapter describes a novel approach to training machine learning
systems by means of a hybrid computer setup i.e. a digital computer tightly
coupled with an analog computer. As an example a reinforcement learning system
is trained to balance an inverted pendulum which is simulated on an analog
computer, thus demonstrating a solution to the major challenge of adequately
simulating the environment for reinforcement learning.
