<trshtrsh[m]>
Hello! Anybody there? I am working on proof of concept for and exciting project that involves Reinforcement learning. As my project so far is written in C++ I guess mlpack could be a ideal fit. But I think I lack technical skill to add mlpack to an Existing c++ project. So any leads and help greatly appreciated.
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<Guest3>
Hello! Anybody there? I am working on proof of concept for and exciting project that involves Reinforcement learning. As my project so far is written in C++ I guess mlpack could be a ideal fit. But I think I lack technical skill to add mlpack to an Existing c++ project. So any leads and help greatly appreciated.
<swaingotnochill[>
<trshtrsh[m]> "Hello! Anybody there? I am..." <- You can check out:
<swaingotnochill[>
If you need anything else, feel free to drop a message here.
<jonpsy[m]>
<trshtrsh[m]> "Hello! Anybody there? I am..." <- Hi there, welcome to mlpack. We have an extensive reinforcement learning library which can be found [here](https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods/reinforcement_learning). Please note we heavily utilize template metaprogramming, and atleast intermediate level of C++. You can have a look at mlpack examples, reinforcement learning section to get a feel of things. Once
<jonpsy[m]>
you're ready to swing, have a dive inside the reinforcement learning module.
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<trshtrsh[m]>
Hi! Yes I am already getting into examples etc. But as I wrote I lack the skill to add mlpack as c++ library to my existing project.
<trshtrsh[m]>
What do you mean with `extensive ` >
<trshtrsh[m]>
s/>/?/
<jonpsy[m]>
That's just an adjective, I meant we have a rich library
<jonpsy[m]>
don't ask me what I mean by `rich` library :P
<jonpsy[m]>
<trshtrsh[m]> "Hi! Yes I am already getting..." <- you can just import the headers, and it should work just fine. Have a look at the unit test module to see how they're imported in user code.
<swaingotnochill[>
<trshtrsh[m]> "This for example? https://github..." <- Yes...Example Repository and Unit Test repository are great references if you are new and want to know how things works in mlpack.