Not really, I think the main strength of the library is that it is designed to be easy to understand how the algorithms are implemnted. At the time, the main alternative was OpenAI/Stable baselines, which was quite obscure to understand how the algorithms are implemented. On the other hand, the algorithms do not use some more advanced tricks that enhance performance

However, there are better libraries now. In the same spirit, there is CleanRL, that is clean (with algorithms in one file) , but also performent. If you are looking for a modular easy-to-use library, I would recommend Stable Baselines3