Hands-On Intelligent Agents with OpenAI Gym

Simple environment interface

OpenAI Gym provides a simple and common Python interface to environments. Specifically, it takes an action as input and provides observation, reward, done and an optional infoobject, based on the action as the output at each step. If this does not make perfect sense to you yet, do not worry. We will go over the interface again in a more detailed manner to help you understand. This paragraph is just to give you an overview of the interface to make it clear how simple it is. This provides great flexibility for users as they can design and develop their agent algorithms based on any paradigm they like, and not be constrained to use any particular paradigm because of this simple and convenient interface.