Hands-On Reinforcement Learning with Python

Introduction to Reinforcement Learning

Reinforcement learning (RL) is a branch of machine learning where the learning occurs via interacting with an environment. It is goal-oriented learning where the learner is not taught what actions to take; instead, the learner learns from the consequence of its actions. It is growing rapidly with a wide variety of algorithms and it is one of the most active areas of research in artificial intelligence (AI).

In this chapter, you will learn about the following:

• Fundamental concepts of RL
• RL algorithm
• Agent environment interface
• Types of RL environments
• RL platforms
• Applications of RL