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The gym library is a collection of test problems — environments — that you can use to work out your reinforcement learning algorithms. These environments have a shared interface, allowing you to write general algorithms. To see all the OpenAI tools check out their github page. OpenAI Gym is an open source toolkit that provides a diverse collection of tasks, called environments, with a common interface for developing and testing your intelligent agent algorithms. In this article, you will get to know what OpenAI Gym is, its features, … Gym is also TensorFlow compatible but I haven’t used it to keep the tutorial simple. To get started, you’ll need to have Python … If you would like a copy of the code used in this OpenAI Gym tutorial to follow along with or edit, you can find the code on my GitHub. After trying out gym you must get started with baselines for good implementations of RL algorithms to compare your implementations. The field of reinforcement learning is rapidly expanding with new and better methods for solving environments—at this time, the …
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