Hello Aadarsh, thanks for your interest, for a general starting point take a look at: https://www.mlpack.org/community.html and https://www.mlpack.org/gsoc.html.
For the RL project it would be a good first step to get faimilar with the RL codebase: https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods/reinforcement_learning make sure to take a look at the tests as well: https://github.com/mlpack/mlpack/blob/master/src/mlpack/tests/rl_components_test.cpp, https://github.com/mlpack/mlpack/blob/master/src/mlpack/tests/q_learning_test.cpp Let me know if I should clarify anything. Thanks, Marcus > On 25. Feb 2020, at 17:41, AADARSH ANAND SWAROOP ASTHANA > <[email protected]> wrote: > > Hello > This is Aadarsh Asthana a 2nd year CS undergrad. I'm looking to contribute to > mlpack as a part of as well as outside of GSoC by implementing research > papers on reinforcement learning. I have sufficient theoretical background in > RL. I have intermediate level proficiency in C++. Could you help me with what > I should do next? > Regards > Aadarsh Asthana _______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
