tokens: Reinforcement Learning ( RL ) has been able to deal with big state spaces , including states derived from pixel level images ( i.e. Deep Q Network , DQN , learning to play Atari games ) thanks to the usage of Deep Convolutional Neural Networks to approximate the mapping of states and actions to future reward .