An introduction to OpenAI Gym

The OpenAI Gym, created by the team at OpenAI is a playground of different environments where you can develop and compare your reinforcement learning algorithms. It is compatible with deep learning libraries such as TensorFlow and Theano.

OpenAI Gym consists of two parts:

• The gym open-source library: This consists of many environments for different test problems where you can test your reinforcement learning algorithms. This suffices with the information of state and action spaces.
• The OpenAI Gym service: This allows you to compare the performance of your agent with other trained agents.

For the installation and dependencies, please refer to the following link:

https://gym.openai.com/docs/

With the basics covered, now we can start with the implementation of reinforcement learning using the OpenAI Gym from next Chapter 2, Training Reinforcement Learning Agents using OpenAI Gym.