Hello Manos, Thanks for your reply. I have modified my proposal accordingly. We can still iterate over it. Let me know your thoughts on it. Best, Sanket On Tue, Mar 23, 2021 at 12:15 PM Manos Kirtas <manolis [ dot ] kirt [ at ] gmail [ dot ] com> wrote: > Hello, > > Glad to hear that you are interested on contributing in deepbots project. > I have some comments on you proposal > > - It will be helpful if you specify in that you will work on first. > For example, there is an extensive list of examples > <https://github.com/aidudezzz/deepbots/issues/85> that you can work > on. Being more specific can help us to guide you in order to compose a > strong proposal > - What types of problems you are interested for? What kind of robots > can be used to replicate those gym examples? > - Are you interested on contributing RL algorithms? Is there any > existing implementation that can be used or we should develop it from > scratch. I totally recommend to take on a look on existing implementation > (such as stable-baselines > <https://stable-baselines.readthedocs.io/en/master/>) > - If you are interested on implementing RL algorithms from scratch, it > would be great to cite the respective papers. > - Which framework you are going to use in order to implement those > algorithms (etc. pytorch, tensorflow)? > - Elaborate as more as possible the custom testbets that you are > interested to develop. What's you ideas? What type of task we want to > solve? What robot can be used? Can this problem be solved with both > discrete and continuous action space? > - I found very interesting idea to have an infrastructure for > hyperparameter optimization! Can we use an existing framework for that, for > example ray? <https://ray.io/> > > In my prospective it will be better to stick on 3 specific examples/tasks > in order to further examine what can be used. Additionally, I feel that > firstly we should take a look on existing implementations of RL algorithms > and integrate them on those specific examples. Stable-baselines are already > supported from deepbots and can be easily integrated on any example with > not so much effort. Regarding the hyperparameter optimization, I will > recommend ray since a have some experience and I can guide you. Of course > any other ideas it is more than welcome to be discussed! > > Finally, I find very useful to include a timeline in which you can > schedule your different ideas and develop a plan that can be feasible on > the given timeline. > > Those some comments can extend our discussion in order to develop a strong > proposal. I'm glad to hear your thoughts about the above comments! > > Best regards, > > Manos. > > > On 22/3/21 12:35 μ.μ., Sanket Thakur wrote: > > Hello, > I am writing this to express my interest to work on '* Extend deepbots to > support stable-baselines and implement gym-style default RL environments *' > as a part of Gsoc 2021. > I am attaching my proposal for the project and relevant contributions. > It'd be great to hear your reviews on it. > > Thanks. > > Best, > Sanket > > ---- > Λαμβάνετε αυτό το μήνυμα απο την λίστα: Λίστα αλληλογραφίας και συζητήσεων που απευθύνεται σε φοιτητές developers \& mentors έργων του Google Summer of Code - A discussion list for student developers and mentors of Google Summer of Code projects.,https://lists.ellak.gr/gsoc-developers/listinfo.html > Μπορείτε να απεγγραφείτε από τη λίστα στέλνοντας κενό μήνυμα ηλ. ταχυδρομείου στη διεύθυνση <gsoc-developers+unsubscribe [ at ] ellak [ dot ] gr> <gsoc-developers+unsubscribe [ at ] ellak [ dot ] gr>. > >
GSOC Application - GFOSS(1).pdf
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---- Λαμβάνετε αυτό το μήνυμα απο την λίστα: Λίστα αλληλογραφίας και συζητήσεων που απευθύνεται σε φοιτητές developers \& mentors έργων του Google Summer of Code - A discussion list for student developers and mentors of Google Summer of Code projects., https://lists.ellak.gr/gsoc-developers/listinfo.html Μπορείτε να απεγγραφείτε από τη λίστα στέλνοντας κενό μήνυμα ηλ. ταχυδρομείου στη διεύθυνση <gsoc-developers+unsubscribe [ at ] ellak [ dot ] gr>.