Sure! pointer-generator networks just have a layer on top of the normal pointer networks which makes the code Namrata96 is planning to finish before May (if I understood correctly) extendable to what I mentioned earlier; what would be left is an RL algorithm (ex: ACKTR which is already proposed or just simple REINFORCE which is implemented) and the MCTS. Is the scope of tackling both suitable for GSoC? Is that a lot or too little since you are more aware of how much time development for the mlpack library would need? Or do you think that it is not a good idea in the first place?
On Thu, Mar 7, 2019 at 11:07 PM Marcus Marcus <[email protected]> wrote: > Hello Ahmed, > > there is a WIP PR about pointer-generator networks: > https://github.com/mlpack/mlpack/issues/1725, which goes in a similair > direction > and here is the mail discussion: > http://knife.lugatgt.org/pipermail/mlpack/2019-February/003888.html. Do > you > think we should combine both approaches? > > Thanks, > Marcus > > On 7. Mar 2019, at 13:11, Ahmed Maher <[email protected]> wrote: > > Dear all, > > I hope you all are having a good day. I am a computer engineering > student at Cairo University, Egypt currently in my last year. > > I want to ask the maintainers of mlpack about how interested are > they in the idea of adding pointer networks to the code base. I find it a > good idea because pointer networks trained using deep RL algorithms have > proven to be really good at solving combinatorial optimization problems > like TSP and even on par with tools like Google OR-Tools in VRP while being > end-to-end! Since mlpack monopolizes on speed, I think it would be good to > have a foundation for expanding in this direction adding maybe MCTS later > on which will make mlpack a necessity for people wanting to solve > combinatorial problems as speed could be a deal breaker for other tools. > > What are your thoughts on that? I attached the papers I have read > about this topic for reference. Kindly find them below. Thanks. > > Pointer Networks <https://arxiv.org/abs/1506.03134> > Neural Combinatorial Optimization with Reinforcement Learning > <https://arxiv.org/abs/1611.09940> > Reinforcement Learning for Solving the Vehicle Routing Problem > <https://arxiv.org/abs/1802.04240> > > Best Regards, > -- > Ahmed Maher AlAmir > Senior Student, Computer Engineering Department > Faculty of Engineering, Cairo University > Giza, Egypt > > _______________________________________________ > mlpack mailing list > [email protected] > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack > > > -- Ahmed Maher AlAmir Senior Student, Computer Engineering Department Faculty of Engineering, Cairo University Giza, Egypt
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