Difference between revisions of "Thread:Talk:ScalarBot/Version History/how to build a good test bed?/reply (6)"

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Revision as of 23:14, 27 September 2017

It depends what I am working in.

For movement, often a single bot is enough to prove a theory. Escape angle tuning is a rambot plus DevilFish, surfing mechanics is DoctorBob, anti-GF RaikoMicro, anti-fast-learning is Ascendant and for general unpredictability Shadow or Diamond.

Targeting I always find less interesting. Maybe because it is a more pure ML problem, with less ways to optimise that haven't already been studies in a related field. I decided to brute-force it by adding lots of features and then using a genetic optimization to tune the weights. The surfers I did separately, but with the same process.