DeepMind was able to show that deep learning networks can be effectively used to train agents to play games. This is significant because the input their learner takes in is the game screen and a set of controls the agent can perform. In previous work in this area, researchers had to hand extract features which helped the AI agent learn the game. With deep learning that process is automated in the deep learning network. The network learns important features and learns policies that lead to a good score.
This is a companion discussion topic for the original entry at https://www.moquality.com/blog/Testing-Games-on-Android-using-Deep-Reinforcement-Learning/