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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