I am not a core developer and thus really can’t comment about the scope of scikit-learn here :P. But I am a curious about how to implement it in scikit-learn efficiently. I think an implementation based on Theano or TensorFlow may be a better place for such a module (maybe skflow, which has a scikit-like API https://github.com/tensorflow/skflow?)
> On Mar 2, 2016, at 2:21 PM, 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 > ------------------------------------------------------------------------------ > Site24x7 APM Insight: Get Deep Visibility into Application Performance > APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month > Monitor end-to-end web transactions and take corrective actions now > Troubleshoot faster and improve end-user experience. Signup Now! > http://pubads.g.doubleclick.net/gampad/clk?id=272487151&iu=/4140_______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general ------------------------------------------------------------------------------ Site24x7 APM Insight: Get Deep Visibility into Application Performance APM + Mobile APM + RUM: Monitor 3 App instances at just $35/Month Monitor end-to-end web transactions and take corrective actions now Troubleshoot faster and improve end-user experience. Signup Now! http://pubads.g.doubleclick.net/gampad/clk?id=272487151&iu=/4140 _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
