Reinforcement Learning Algorithms with Python

The IL structure

Now that all the ingredients of imitation learning have been tackled, we can elaborate on the algorithms and approaches that can be used in order to design a full imitation learning algorithm.

The most straightforward way to tackle the imitation problem is shown in the following diagram:

The preceding diagram can be summarized in two main steps:

• An expert collects data from the environment.
• A policy is learned through supervised learning on the dataset.

Unfortunately, despite supervised learning being the imitation algorithm for excellence, most of the time, it doesn't work.

To understand why the supervised learning approach ...