giuse

4 ms·

1.
by giuse 8y ago
Uhm maybe I should have pointed this out earlier but the algorithms implementation can be found (independent of deep neuroevolution) in my Ruby machine learning workbench repo (in turn imported in DNE): https://github.com/gi
2.
by giuse 8y ago
Uhm unfortunately I do not, I could search for some on Google but I doubt I would fare better than you at it. I went to code my own version, it is quite straightforward. You can find it here: https://github.com/giuse/ma
3.
by giuse 8y ago
Sure! It's quite simple: works like a charm. Completely transparent. You `import` with Python-like syntax, and you get a Ruby object that transparently forwards any message (i.e. method calls) to the corresponding Python object on the
4.
by giuse 8y ago
Sure, familiarity matters. But I believe in the rational reasons that brought me back to this tool over and over, until I built familiarity indeed :) I posted an overbloated discussion on it on Reddit, feel free to read as little as you nee
5.
by giuse 8y ago
You may be interested in an even older paper: http://www.idsia.ch/~juergen/icdl2011cuccu.pdf
6.
by giuse 8y ago
Ruby should be perfectly legible with a Python background, but for any question just ping me on twitter. I would be happy to build a dialog :)
7.
by giuse 8y ago
Author here. The idea is low-hanging indeed, several friends (including @togelius!) commented "I always wanted to do that -- eventually". Realization is another matter. Have a look at the mess necessary to make it work: we had to