Dear MLPack-Team,

though I know that the official application deadline for Google Summer of Code 
applications was in early April, would I still like to add some late 
information to my proposal as I have done some significant work towards my 
proposed project.

Unfortunately do I not see some sort of GSoC ID to identify myself with, so I 
hope my Name (Paul Pauls) and my e-mail address will suffice 
([email protected]), which I also stated in the application.
The title of my application proposal was "Implementing ‘NeuroEvolution of 
Augmented Topologies’(NEAT) in MLPack and integrating it into the MLPack 
ecosystem."

By now have I done some significant research into Neuroevolution in general and 
Neuroevolution of Augmented Topologies in specific. I am currently writing a 
seminar paper about it in order to grasp the topic as best as I can and 
therefore hopefully deliver the best GSoC project as I can. Though the paper is 
still in the making and changes daily, have I created a github repository for 
it [1] so you can convince yourself about my familiarity with the subject.
I also created a repository that trains an agent to play the SNES game 'Super 
Mario World' utilizing the NEAT algorithm when training the neural net [2]. 
Though it is still in heavy development it can already create an agent that 
successfully beats the first level (Yoshi Island 1). It utilizes the 
NEAT-Python library and judges its input by actually analyzing the Videogame 
Screen via OpenCV, unlike the popular MarIO [3], which gets its input by 
reading the right points in the ROM memory map.

I hope - even though it is quite late in the process - that this email finds 
its way to the people judging my GSoC application. Either way would I like to 
thank you for your time and consideration.


With my best regards,
Paul Pauls


[1] https://github.com/PaulPauls/Neuroevolution_of_Augmenting_Topologies_Paper
[2] https://github.com/PaulPauls/SuperMarioWorld-NEAT-Agent
[3] https://www.youtube.com/watch?v=qv6UVOQ0F44
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