Hello Rohan, thanks for getting in touch.
> I have a good knowledge in neural networks and deep learning.Previous summer, > I > did my summer internship at Beckmann Institute, UIUC (University of Illinois > at > Urbana-Champaign), USA on deep learning in cancer imaging. That sounds really interesting, would be awesome if Deep learning would have an positive impact on this important problem, I think you used some CNN flavor in your experiments? > Previous semester , I took Computer Vision using machine learning course at my > college. I proposed a transfer learning architecture for semantic segmentation > in deep learning as a semester project. The codes can be found here. This looks really interesting as well, note Theano is somewhat different from what we usally do at mlpack. > Presently I am going through the code structure of mlpack. I am comfortable > with > the software because I have good background in C++. Since there are none > tickets > open presently, I am currently following Marcus's suggestion to go through the > code base and try to improve the codes. I will be grateful to any member who > would like to provide any suggestions. Another idea is to implement a simple RL method like (stochastic) Policy Gradients and test it on the existing environments, but don't feel obligated. Let me know if I should clarify anything. Thanks, Marcus > On 16. Feb 2018, at 07:29, Rohan Raj <[email protected]> wrote: > > Hello Everyone, > > I am Rohan Raj , a pre-final year undergraduate student from IIT Guwahati. > > I am doing my undergraduate research in artificial intelligence , focusing in > deep reinforcement learning. Recently, I have submitted my research work, > 'Weighted Experience Replay for Independent Q Learning in Multi-Agent > Reinforcement Learning' , in ICML 2018 . > > I have a good knowledge in neural networks and deep learning.Previous summer, > I did my summer internship at Beckmann Institute, UIUC (University of > Illinois at Urbana-Champaign), USA on deep learning in cancer imaging. > > Previous semester , I took Computer Vision using machine learning course at > my college. I proposed a transfer learning architecture for semantic > segmentation in deep learning as a semester project. The codes can be found > here <https://github.com/luffy1996/transfer-learning-semantic-segmentation>. > > > My blogs are regularly followed by various researchers in the world. You may > like to read my introductory blogs on LSTMs > <https://rohanrajblogs.blogspot.in/2016/12/writing-simple-lstm-model-on-keras.html> > and supercomputer param isham > <https://rohanrajblogs.blogspot.in/2017/01/supercomputer-param-ishan.html>. > > I have been through the idea list and I am interested in working in > reinforcement learning module. I have sufficient knowledge of DDQN networks > and actor-critic networks. I have fairly good understanding of the PPO > algorithms. > > Presently I am going through the code structure of mlpack. I am comfortable > with the software because I have good background in C++. Since there are none > tickets open presently, I am currently following Marcus's suggestion to go > through the code base and try to improve the codes. I will be grateful to any > member who would like to provide any suggestions. > > You may want to have a look at my resume, which is attached with this email. > > Thank You, > Rohan Raj > Indian Institute of Technology Guwahati > Assam , India > Phone : +91 8723990557. > > > > ᐧ > <rohanraj_IIT_Guwahati_.pdf>
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