[mlpack] GSoC Application
Marcus Edel
marcus.edel at fu-berlin.de
Fri Mar 4 10:10:02 EST 2016
Hello Bang,
Thanks for getting in touch.
Probably one of the most important things to do is read the following paper and
make sure you are familiar with it:
- HyperNEAT-GGP: http://nn.cs.utexas.edu/downloads/papers/hausknecht.gecco12.pdf
- NEAT: http://nn.cs.utexas.edu/?stanley:ec02
- CMA-ES: http://image.diku.dk/igel/paper/NfRLUES.pdf
- CoSyNE: ftp://ftp.cs.utexas.edu/pub/neural-nets/papers/gomez.ecml06.ps
- Multi-Objective Neuroevolution in Super Mario Bros.: http://www.diva-portal.org/smash/get/diva2:676807/FULLTEXT01.pdf
We also suggest that everyone who wishes to apply for this project, try to
compile the source code and explore the source code, especially the neural
network code and the code to communicate with the emulator.
The application guide should cover your question:
https://github.com/mlpack/mlpack/wiki/Google-Summer-of-Code-Application-Guide
Let me know if I can clarify anything.
Thanks
Marcus
> On 03 Mar 2016, at 06:57, bang liu <lbldtb at gmail.com> wrote:
>
> Dear all,
>
> Nice to meet you guys! My name is Bang, and I am a PhD student in University of Alberta. I am highly interested in making contribution to mlpack community through this year's GSoC. One of the ideas that highly fascinates me is "Neuroevolution algorithms" listed in the IDEAS page. I have great passion for taking and finishing one of the projects and is absolutely willing to learn corresponding professional or programming knowledges.
>
> I have programming experience in C, C++, Python, Java, Matlab, etc. Also, I have research experience related to machine learning. More details about me can be found in my homepage:
> https://www.ualberta.ca/~bang3/ <https://www.ualberta.ca/~bang3/>
>
> May I ask how I can start preparing for submitting a good proposal for being accepted to the project? Looking forward to any suggestions! Thanks!
>
> Best regards,
> Bang
>
>
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> mlpack at cc.gatech.edu
> https://mailman.cc.gatech.edu/mailman/listinfo/mlpack
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