[mlpack] Reinforcement Learning GSOC

[Sahith D]

Hi Marcus,
I've been having difficulties compiling mlpack which has stalled my
progress. I've opened an issue on the same and appreciate any help.

On Thu, Feb 22, 2018 at 10:09 AM Sahith D <sahithdn at gmail.com> wrote:

> Hey Marcus,
> No problem with the slow response as I was familiarizing myself better
> with the codebase and the methods present in the meantime. I'll start
> working on what you mentioned. I'll notify you when I finish.
>
> Thanks!
>
> On Thu, Feb 22, 2018 at 4:56 AM Marcus Edel <marcus.edel at fu-berlin.de>
> wrote:
>
>> Hello Sahith,
>>
>> thanks for getting in touch and sorry for the slow response.
>>
>> > My name is Sahith. I've been working on Reinforcement Learning for the
>> past year
>> > and am interested in coding with mlpack on the RL project for this
>> summer. I've
>> > been going through the codebase and have managed to get the Open AI gym
>> api up
>> > and running on my computer. Is there any other specific task I can do
>> while I
>> > get to know more of the codebase?
>>
>> Great that you got it all working, another good entry point is to write a
>> simple
>> RL method, one method that is simple that comes to mind is the Policy
>> Gradients
>> method. Another idea is to write an example for solving a GYM environment
>> with
>> the existing codebase, something in the vein of the Kaggel Digit
>> Recognizer
>> Eugene wrote
>> (https://github.com/mlpack/models/tree/master/Kaggle/DigitRecognizer).
>>
>> Let me know if I should clarify anything.
>>
>> Thanks,
>> Marcus
>>
>> > On 19. Feb 2018, at 20:41, Sahith D <sahithdn at gmail.com> wrote:
>> >
>> > Hello Marcus,
>> > My name is Sahith. I've been working on Reinforcement Learning for the
>> past year and am interested in coding with mlpack on the RL project for
>> this summer. I've been going through the codebase and have managed to get
>> the Open AI gym api up and running on my computer. Is there any other
>> specific task I can do while I get to know more of the codebase?
>> > Thanks!
>>
>>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://knife.lugatgt.org/pipermail/mlpack/attachments/20180223/8ac38f5c/attachment.html>