Reinforcement learning is an exciting field of machine learning, and you're
right that it seems underrepresented in Python. However, I don't think that
it falls within the strict scope of the scikit-learn API.
On Wed, Mar 2, 2016 at 11:21 AM, Michał Koziarski <michalkoziar...@gmail.com
> wrote:
> Hello everyone,
>
> As far as I can tell, except PyBrain (which doesn't seem to be actively
> developed) there are no reinforcement learning libraries in Python. I was
> wondering if community would be interested in using one and making it a
> part of scikit-learn. Does it lie within the scope of the project?
>
> Very raw idea is, as follows:
> - to design common interface, similar to what is used in other parts of
> scikit-sklearn;
> - to implement established RL algorithms, reliant heavily on estimators
> available in scikit-learn;
> - and to prepare practical examples of what RL can be used for, to both
> supplement documentation and encourage people not yet familiar with RL to
> experiment with it in their own projects.
>
> Once again, I would mostly like to know whether it event lies within the
> scope of the project, or if it just won't be added because of project
> philosophy. Other than that, I would obviously appreciate any feedback.
>
> About me: I am a last master's CS student. My research interests involve
> machine learning in general and reinforcement learning in particular; this
> year I hope to start my PhD on the latter. My master's thesis revolves
> around transfer learning in RL. I have experience with programming in
> industry and on large projects.
>
> Cheers,
> Michał
>
>
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