The ReinforcementLearning and RBM packages differ from the libraries already covered in two important ways: first, they are specialized packages that have functions for only one specific deep learning task instead of attempting to support myriad deep learning options, and second, they are completely written in R and have no additional language dependencies. This can be an advantage as the complexity of the previous libraries means that the packages can break when changes happen outside the package. The support pages for these libraries are full of examples of installation FAQs and troubleshooting instructions, as well as some cases where a given package may suddenly stop working or become deprecated. In these cases, we encourage you to continue searching CRAN and other sites as the R community is well known for its dynamic, evolving, and...
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