Creating Intelligent Agents with Reinforcement Learning
In this chapter, we are going to learn about reinforcement learning (RL). We will discuss the premise of RL. We will talk about the differences between RL and supervised learning. We will go through some real-world examples of RL and see how it manifests itself in various forms. We will learn about the building blocks of RL and the various concepts involved. We will then create an environment in Python to see how it works in practice. We will then use these concepts to build a learning agent.
In this chapter, we will cover the following topics:
- Understanding what it means to learn
- Reinforcement learning versus supervised learning
- Real-world examples of RL
- Building blocks of RL
- Creating an environment
- Building a learning agent
Before we move into RL itself, let's first think about what it actually means to learn; after all, it will help us to understand it before we go about...