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After playing a few rounds today with omnibots it seems they are well rather dumb. Seeing as I am rather bored today and enjoy coding AI systems I was wondering could machine learning be coded into the pathing and reactions for omnibot. So I had a request would this be something =F|A= is interested in and if so I can easily convert replay files into actions that could be used to train a network for AI that would act quite similar to real life players filtering the 0 ping player as "corrupt" so it does not learn from any current OMNIbot looking at the source at gibhub the framework is quite open and this seems like not a large undertaking to really do code wise. The largest part of the project would be training the AI for which I would need the largest sample of replay files I could reasonably get. Let me know if people are interested in this it sounds like a fun project.

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