Hi Marcus, Using Python (with OpenGL) for writing the simulator seems like a better option to me primarily because it will allow for more flexibility. Graphics libraries like pygame should provide a good a starting point for the simulation. As far as communication between the simulation and the agent go, I was thinking of having an HTTP server to serialize data and transfer it between the learning agent and the server(using flask). The agent can poll the server at time intervals for new content and process them. Having used the libraries above for numerous personal projects, I am quite comfortable with them. Faster communication could be made possible using persistent sockets instead of polling from an HTTP endpoint. Purpose built software like ROS seems to be a tangible alternative too, but, as per your suggestion in the other thread about this project, that most of the available compute should be utilised for the learning algorithm, using a pure Python implementation should not only make it performant but also easily maintainable and installable.
I would love to hear your suggestions on the ideas suggested above. Thank you for your time. Best, Sayan Sayan Goswami Undergraduate Student (UG-II) Dept. of Electronics & Telecomm. Engineering Jadavpur University On Sun, Feb 25, 2018 at 7:09 PM, Marcus Edel <marcus.e...@fu-berlin.de> wrote: > Hello Sayan, > > welcome and thanks for getting in touch. > > My research interests lie in the field of Deep Learning (specifically Deep > Reinforcement Learning). I have been exploring deep neural network > architecture > for the past year and a half. I am familiar with deep learning. I have a > completed numerous massively open online courses on the field with close > to 100% > grade in each. I am presently a community Course Mentor at deeplearning.ai > 's > course on Convolutional Neural Networks. I am also quite comfortable using > processing (Having used it to explore generative art). > > > Using processing is one idea, there are various possibilities each with > its own > strengths. So if you say you like to implement the simulator in plain > python > using OpenGL this is also an option we should take a closer look into. > > I have already compiled the codebase from source and have run the tests. > However, as is mentioned in the proposal documentation, I am unable to find > issues pertaining to this specific project. It would be great if a mentor > could > guide me in the right direction. > > > We are trying to publish more issues over the next days that are project > related. > > I hope anything I said was helpful, let me know if I should clarify > anything. > > Thanks, > Marcus > > On 25. Feb 2018, at 05:57, Sayan Goswami <goswami.saya...@gmail.com> > wrote: > > Hi, > > I am Sayan Goswami, a sophomore year undergraduate student at Jadavpur > University, India. I would like to work on the "Robotic Arm" project as a > part of GSoC '18. > > My research interests lie in the field of Deep Learning (specifically Deep > Reinforcement Learning). I have been exploring deep neural network > architecture for the past year and a half. I am familiar with deep > learning. I have a completed numerous massively open online courses on the > field with close to 100% grade in each. I am presently a community Course > Mentor at deeplearning.ai's course on Convolutional Neural Networks. I am > also quite comfortable using processing (Having used it to explore > generative art). > > I am presently going through the mlpack methods API and getting familiar > with the codebase. > > I have already compiled the codebase from source and have run the tests. > However, as is mentioned in the proposal documentation, I am unable to find > issues pertaining to this specific project. It would be great if a mentor > could guide me in the right direction. > > I have attached my resume for your kind perusal. > > Looking forward to a hearing back soon. Thank you for your time. > > Resume: https://goo.gl/6jLhru > <https://drive.google.com/open?id=0BwAJkZuRJT6tWmN3NHdSM0t6TGs> > > > Sincerely, > Sayan Goswami > > _______________________________________________ > mlpack mailing list > mlpack@lists.mlpack.org > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack > > >
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