Hello Arkadiy,

No need to post the link to the draft here, we are able to acess shared drafts
over the GSoC interface.

Thanks,
Marcus


> On 22 Mar 2017, at 14:51, Arkadiy Dushatskiy <[email protected]> wrote:
> 
> Hi,
> 
> Thanks for reply! Than I would like to choose RL project. Is it ok if I post 
> link to google doc with my proposal draft of this project in this thread ?
> 
> Arkadiy.
> 
> On 22.03.2017 16:42, Ryan Curtin wrote:
>> On Tue, Mar 21, 2017 at 08:24:50PM +0300, Arkadiy Dushatskiy wrote:
>>> Hi,
>>> 
>>> Yes, source code of my library for Kaggle is at
>>> https://github.com/Arcady27/KaggleLib . Sorry that I haven't yet enough time
>>> to write good docs for it, refactor and fix all bugs, but nevertheless the
>>> main functionality can be seen and I already successfully used it in several
>>> Kaggle contests.
>>> 
>>> Q-learning with neural net for Flappy Bird can be found at
>>> https://github.com/Arcady27/Q-Learning-Flappy-Bird. It's rather difficult
>>> game compared to some Atari ones because it needs the precision of actions
>>> taken by agent, that's why it takes a long to learn (as I remember, several
>>> hours at least to gain >10 points). Nevertheless, it is interesting to watch
>>> how the bird is learning at first 10-20 minutes (score is raising to 2-3-4
>>> points from 0).
>>> 
>>> I am quite equally interested in both of RL-project and
>>> cross-validation/models tuning one, maybe a little bit more excited about
>>> RL. What project would you advice me to write proposal for? Thanks!
>> I'm not sure that we can effectively answer this question for
>> you---that's up to you.  Here is a mailing list thread with some more
>> information on the cross-validation/hyper-parameter tuning project:
>> 
>> http://lists.mlpack.org/pipermail/mlpack/2017-February/003066.html
>> 
> 
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