In this section, we will discuss recent Python-based learning environments that provide a good platform for intelligent agent development but don't necessarily have a Gym-compatible environment interface. Although they do not provide Gym-compatible interfaces, the environments we will be discussing in this section were carefully selected to make sure that either a Gym wrapper (to make it compatible with the Gym interface) is available, or they are easy to implement in order to use and experiment with the agents we have developed through this book. As you can guess, this list of good Python-based learning environments for developing intelligent agents will grow in the future, as this area is being very actively researched at the moment. The book's code repository will have information and quickstart guides for new environments...
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