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Hi, I want to know if there is any documentations about the structure of this package? There are many inheritances among the files, I still do not know which file is used for updating observations, running episode. Is there any description documents to learn this package quickly?
The text was updated successfully, but these errors were encountered:
I am sorry for a huge delay. I still remember about you.
Hi, Denys, do not worry. I have already had some experience in this field, and now I am trying to add a new model for generating visual representations, which are used as input for the agent.
I have noticed that reinforcement learning is more complicated than deep learning, and it is very hard to package the pipeline completely and fully at the same time. In addition, I still want to suggest adding some explanations for the packages' structure or opening one tutorial with a very simple version without running mean std or so. In the beginning, I was used to calling neural network as model, so I took some time to understand the network_builder.py and model_builder.py.
Anyway, this package is great, and the community is still active, my wish is to give more descriptions and lower the barrier for many beginners.
Hi, I want to know if there is any documentations about the structure of this package? There are many inheritances among the files, I still do not know which file is used for updating observations, running episode. Is there any description documents to learn this package quickly?
The text was updated successfully, but these errors were encountered: