Hello Hitesh, welcome and thanks for getting in touch.
> As far as Reinforcement Learning is concerned, I have played around with the > cart-pole problem and have a working knowledge of q-learning. To be frank, I > am > not at all familiar with any of the 3 'recent ideas' given in the above link. > I > have tinkered a lot with Neural Networks in Python and built CNN's, RNN's and > Variational Autoencoders using TensorFlow and worked on the standard problems > of > text and image classification and sentiment analysis. Also, I have taken a > look > at mlpack's existing RE implementations as directed by the ideas page. I > believe > that given adequate time and guidance I can pick up the ideas pretty well and > quick. A good first step would be to get familiar with the ideas mentioned on the project page, you don't have to get every detail but a general idea would help in the proposal preparing step. If you have any questions, please don#t hesitate to ask. Also, note this is a C++ library, so you should be familiar with the common patterns used over the codebase; see mlpack.org/gsoc.html for more information. Thanks, Marcus > On 11. Mar 2018, at 12:11, Hitesh Bhagchandani > <hiteshbhagchandan...@gmail.com> wrote: > > Hello! I am Hitesh Bhagchandani from BITS , Hyderabad, India, currently > pursuing my 3rd year in computer science. I am writing to you regarding the > idea : "Reinforcement Learning" that I came across here > <https://github.com/mlpack/mlpack/wiki/SummerOfCodeIdeas#reinforcement-learning>. > > I intend to participate in this year's GSOC and would be very grateful if you > could help me figure out the next steps I could take in preparing my proposal. > > As far as Reinforcement Learning is concerned, I have played around with the > cart-pole problem and have a working knowledge of q-learning. To be frank, I > am not at all familiar with any of the 3 'recent ideas' given in the above > link. I have tinkered a lot with Neural Networks in Python and built CNN's, > RNN's and Variational Autoencoders using TensorFlow and worked on the > standard problems of text and image classification and sentiment analysis. > Also, I have taken a look at mlpack's existing > <https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods/reinforcement_learning> > RE implementations as directed by the ideas page. I believe that given > adequate time and guidance I can pick up the ideas pretty well and quick. > > Regards, > Hitesh Bhagchandani.
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