OpenAI gym is an open source toolkit to develop and compare RL algorithms. It contains a variety of simulated environments that can be used to train agents and develop new RL algorithms. To start, you'll first have to install gym. For Python 3.5+, you can install gym using pip:
pip install gym
OpenAI gym supports various environments, from simple text-based to three-dimensional. The environments supported in the latest version can be grouped as follows:
- Algorithms: It contains environments that involve performing computations such as addition. While we can easily perform the computations on a computer, what makes these problems interesting as an RL problem is that the agent learns these tasks purely by example.
- Atari: This environment ...
