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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