Hello Rohan, thanks for the update.
> One more request to you. Please brief me any procedure by which we can add > these > tags to our code. Presently I have aliased the command in the bashrc of my > system. It will be more convenient for the users to run the code directly > with > g++. One option that could work depending on your system is: g++ example.cpp -std=c++11 `pkg-config --libs mlpack` In the end, there is no general solution and alias might work in your case, but it would look different if you like to use mlpack in conjunction with another library. > Presently I am documenting my first RL code on mlpack on my blog page. After > this I will try simple policy gradient method on cartpole . I would like to > know > Shangton's and Ryan's views on it. Please let me know if you wish to give any > suggestions. Sounds good, we will look at the PR once we get a chance. I hope this is helpful, let me know if I should clarify anything. Thanks, Marcus > On 21. Feb 2018, at 05:30, Rohan Raj <rajrohan1...@gmail.com> wrote: > > Hello Marcus, > > Thanks for being the saviour. The code ran smoothly. Please let me know how > to render the output window of the gym. > > Previously I was running the codes without #include > <boost/test/unit_test.hpp> . However same error was encountered . What I see > here is that you had added an executable in the command. I sincerely request > you to add the same executable in your comment on the issue > <https://github.com/mlpack/mlpack/issues/562#issuecomment-204810912>. > > One more request to you. Please brief me any procedure by which we can add > these tags to our code. Presently I have aliased the command in the bashrc of > my system. It will be more convenient for the users to run the code directly > with g++. > > Presently I am documenting my first RL code on mlpack on my blog page > <https://rohanrajblogs.blogspot.in/>. After this I will try simple policy > gradient method on cartpole . I would like to know Shangton's and Ryan's > views on it. Please let me know if you wish to give any suggestions. > > Thanks > > Rohan Raj > Indian Institute of Technology Guwahati > Assam , India > Phone : +91 8723990557, +91 8651776581 > > > > > On 21 February 2018 at 01:57, Marcus Edel <marcus.e...@fu-berlin.de > <mailto:marcus.e...@fu-berlin.de>> wrote: > Hello Rohan, > > Either you can remove #include <boost/test/unit_test.hpp> or link against the > boost unit test framework e.g. clang++ basic.cpp /path/to/lib/libmlpack.so > -I/path/to/mlpack/include/ -larmadillo -lboost_unit_test_framework -std=c++11 > > Let me know if that solves the problem. > > About Log::Debug see http://www.mlpack.org/docs/mlpack- > <http://www.mlpack.org/docs/mlpack-> > git/doxygen/classmlpack_1_1Log.html#afd147ffc8dcfdceaccad2fa1dde00e30 for more > information, it's bascially like std::cout but it will only print the output > if > you build mlpack with DEBUG=ON. > > I hope this is helpful, let me know if I should clarify anything. And a nice > blog post would be awesome. > > Thanks, > Marcus > >> On 20. Feb 2018, at 18:50, Rohan Raj <rajrohan1...@gmail.com >> <mailto:rajrohan1...@gmail.com>> wrote: >> >> Hello Shangtong and Marcus, >> >> I am Rohan Raj,aka luffy 1996 . I have earlier expressed my interest in >> reinforcement learning module for GSOC 18. >> >> Presently I am trying to implement policy gradient method using mlpack. >> Before diving into this problem I planned to run a simple q learning problem >> using Shangtong's last years code. However I was facing errors similar to >> this issue <https://github.com/mlpack/mlpack/issues/562>. I >> tried implementing zoq's command by referencing the library and armadillo to >> g++, but still do not have any success. >> >> This might be an elementary mistake from my side in the code. However , >> helping me out by rectifying it will be a great help as I am new to mlpack. >> I am stuck here for a day. I would like to mention that I will document a >> blog , once this works (incase it hasn't been written.) I also have doubts >> regarding Log::Debug and its use in the code written by Shangton in the >> qlearning >> <https://github.com/mlpack/mlpack/blob/master/src/mlpack/tests/q_learning_test.cpp> >> test file. It will be great if any one explains me the use of Debug. >> >> The codes are available on my github >> <https://github.com/luffy1996/policy-gradient> page. basic.cpp is the code >> which I am mentioning in this email. I will add the README once the code >> works and I will document the blog . >> >> Points to note are: >> 1) The reinforcement learning test passed success on my system. >> 2) I have added the lib and include as said by zoq in the comment of issue >> <https://github.com/mlpack/mlpack/issues/562> still the similar error exists. >> >> I sincerely request you not to broadcast this message on mlpack lists. I am >> planning to document it once this code works. :) >> >> I will be grateful to your help. >> >> Thanks, >> >> Rohan Raj >> Indian Institute of Technology Guwahati >> Assam , India >> Phone : +91 8723990557, +91 8651776581 >> >> >> >> ᐧ > > > ᐧ
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