Reinforcement Learning Algorithms with Python

The imitation approach

IL is the art of acquiring a new skill by emulating an expert. This property of learning from imitation is not strictly necessary for learning sequential decision-making policies but nowadays, it is essential in plenty of problems. Some tasks cannot be solved through mere reinforcement learning, and bootstrapping a policy from the enormous spaces of complex environments is a key factor. The following diagram represents a high-level view of the core components involved in the imitation learning process:

If intelligent agents (the experts) already exist in an environment, they can be used to provide a huge amount of information ...