Reinforcement Learning Algorithms with Python

Deep RL

Now you could ask yourself—why can deep learning combined with RL perform so well? Well, the main answer is that deep learning can tackle problems with a high-dimensional state space. Before the advent of deep RL, state spaces had to break down into simpler representations, called features. These were difficult to design and, in some cases, only an expert could do it. Now, using deep neural networks such as a convolutional neural network (CNN) or a recurrent neural network (RNN), RL can learn different levels of abstraction directly from raw pixels or sequential data (such as natural language). This configuration is shown in the following diagram:

Furthermore, deep RL problems can now be solved completely in an end-to-end fashion. ...