Deep reinforcement learning

Deep reinforcement learning (DRL) is a machine learning method that extends reinforcement learning approach to learning of the entire process from sensors to motors (end-to-end) using deep learning techniques. Therefore it is often called end-to-end reinforcement learning from the point of the aim.