We will be using OpenAI Gym to provide an environment for our Agent. 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.
Learning OpenAI Gym
Getting ready
The first thing to do is install OpenAI Gym; a minimal installation can be done using pip install gym. The OpenAI gym provides a variety of environments, such as Atari, board games, and 2D or 3D physics engines. The minimal installation works on Windows and supports only basic environments--algorithmic, toy_text, and classic_control--but if you want to explore other environments, they will need more dependencies. The full make is supported...