In this chapter, we explored the nomenclature and main concepts of RL. We also learned how to use OpenAI Gym to test our RL algorithms.
Additionally, we examined how to use TensorFlow to create a simple network to solve a simple task.
DNNs are now used in RL to solve more complex tasks that can be easily tested in Gym.
The next chapter is a summary of what we have learned in this book; reading it will be a refresher of all the concepts that we have covered so far.