[mlpack] Reinforcement Learning GSOC

[Marcus Edel]

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!