Value Based Deep Reinforcement Learning
In this section, we introduce three popular value based deep reinforcement learning (RL) algorithms: Deep Q Network (DQN) [1] Double DQN [2] and Dueling DQN [3] All the three neural architectures are able to learn successful policies directly from high dimensional inputs, e.g. preprocessed pixels from video games, by using end to end reinforcement learning, and they all achieved a level of performance that is comparable to a professional human games tester across a set of 49 names on Atari 2600 [4]