Hi Ryan and fellow Mlpack contributors,
Great to know this awesome community. I am Xiaohong Ji, undergraduate student from Wuhan University. My research interest is machine learning and deep reinforcement learning, so I am interested in project reinforcement learning. Currently, I am going to implement the prioritized experience replay and open a [PR](https://github.com/mlpack/mlpack/pull/1614) in github. Due to a little bit unfamiliar with the codebase with this project, here is some dumps question. Hope someone can help me to go though them and thank you in advance. 1: how to design class inherited from base class in mlpack ? I'd like to implement PER inherited from RandomReplay, but most of part attributes are private, should I redesign the structure? 2: how to build part of module, such as the reinforcement learning part which I implement right now? Test and build all the module maybe take a little bit long time. 3: how to make specific unit test, which I mean test the part which I implement? The reason is the same above. Finally, Merry Christmas and Happy New Year. Thanks, Xiaohong
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