Summary

In this chapter, we have learned the concepts behind reinforcement learning, and how it can be used to build deep learning networks with Keras that learn how to play arcade games based on reward feedback. From there, we moved on to briefly discuss advances in this field, such as networks that have been taught to play harder games such as Go and Poker at a superhuman level. While game playing might seem like a frivolous application, these ideas are the first step towards general artificial intelligence, where a network learns from experience rather than large amounts of training data.