1. A method for intelligent image parsing, the method comprising: specifying a state space of an artificial agent for discrete portions of a training image; determining a set of actions, each action specifying a possible change in a parametric space with respect to the test image; establishing a reward system based on applying each action of the set of actions and based on at least one target state; learning, by the artificial agent, an optimal action-value function approximator specifying the behavior of the artificial agent to maximize a cumulative future reward value of the reward system, wherein the behavior of the artificial agent is a sequence of actions moving the agent towards the at least one target state; and applying the learned artificial agent on a test image to automatically parse image content.