[mlpack] GSoC 2016 Project: Neuroevolution algorithms

[Nakul Gulati]

Hey Marcus,

Thanks a lot for your suggestions. I am going through the literature and
would prepare a first draft of the proposal after which I would have better
understanding of which algorithm to start with CNE or NEAT.

You rightly pointed out that writing test cases might take longer, so I
would spend some understanding about testing evolutionary algorithms and
mlpack is doing thing.

I would go through the floss manual so I can write a good proposal, things
seem to have changed a bit from last year.

Regards,
Nakul Gulati
Website <https://nakulgulati.com/> || LinkedIn
<http://in.linkedin.com/in/nakulgulati> || GitHub
<https://github.com/nakulgulati/>

On Thu, Mar 10, 2016 at 7:17 PM, Marcus Edel <marcus.edel at fu-berlin.de>
wrote:

> Hello Nakul,
>
> It is a good decision to start with something easy that could be CNE or
> NEAT.
> Afterwards, we can use that as a baseline for comparison with other
> implementation. You should keep in mind, that you have to write tests, for
> every
> evolution algorithm you write, and that often takes more time than the
> actual
> implementation. Anyway, this year google made draft proposals part of the
> proposal workflow. So we can comment on your timeline etc. and give
> feedback
> once you submitted your application. Also take a look at:
> http://write.flossmanuals.net/gsocstudentguide/
>
> I hope this is helpful. Let me know if I can clarify anything,
>
> Thanks,
> Marcus
>
> On 10 Mar 2016, at 04:12, Nakul Gulati <nakgulati at gmail.com> wrote:
>
> Hi,
>
> I am a final year Computer Science and Engineering student. I am
> interested in contributing to the project *Neuroevolution algorithms* as
> part of GSoC 2016. Some of the courses completed which are relevant to this
> project are: Data Structures and Design and Analysis of Algorithms, Soft
> Computing and Artificial Neural Networks.
>
> In order to get better understanding about the project and mlpack, the
> following steps were taken:
>
>    - Compiled and tested mlpack on OS X
>    - Compiled and tested nes emulator communication code: during this I
>    ended up crashing the emulator hosted on mario.urgs.org 4561, link to
>    issue <https://github.com/zoq/nes/issues/1>. Which was promptly fixed
>    by Marcus Edel, big shout out to him.
>
> Currently I am studying the reading material, starting with the CNE
> algorithm.
>
> For scope of GSoC project I propose to start with the implementation of
> the CNE algorithm at first and then move to a second (name would be
> specified soon) if time permits.
>
> I have little trouble setting up an exact timeline for the project. I
> would love to hear your insight about the approach and timeline and if you
> think what I propose is realistic.
>
> --
> Regards,
> Nakul Gulati
> Website <https://nakulgulati.com/> || LinkedIn
> <http://in.linkedin.com/in/nakulgulati> || GitHub
> <https://github.com/nakulgulati/>
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>
>


-- 
Regards,
Nakul Gulati
Website <https://nakulgulati.com> || LinkedIn
<http://in.linkedin.com/in/nakulgulati> || GitHub
<https://github.com/nakulgulati/>
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