Summary

In this chapter, we went through the step-by-step setup process to install and configure our development environment using conda, OpenAI Gym, and Pytorch! This chapter helped us make sure that we have all the required tools and libraries installed to start developing our agents in Gym environments. In the next chapter, we will explore the features of Gym environments to understand how they work, and how we can use them to train our agents. In Chapter 5, Implementing Your First Learning Agent – Solving the Mountain Car Problem, we will jump right into developing our first reinforcement learning agent to solve the mountain car problem! We will then gradually move on and implement more sophisticated reinforcement learning algorithms in the subsequent chapters.