In the previous chapter, we introduced you to the usage of deep learning in order to recognize objects based on a real-time image feed coming from the Raspberry Pi camera. Hence, this provides the robot the ability to take smart actions related to the recognized object. For example, if the object is a ball, the robot could collect it and put it apart so that nobody has an accident by stepping on the ball.
In this chapter, you will be introduced to reinforcement learning (RL), a field of machine learning that, nowadays, is a very active topic of research, having achieved the success of surpassing human performance in some scenarios, as shown in the recent case of the AlphaGo game (https://deepmind.com/blog/article/alphago-zero-starting-scratch).
You will learn in a practical manner using the Python framework OpenAI Gym, which is a toolkit for developing...
