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Hey, welcome to the wiki! Please feel free to post pages for yourself and your bots. Your gun seems to be coming along nicely. I noticed you listed it as "nearest neighbor" - there's a gun style called DynamicClustering which may be very similar, if you're interested in taking a look. Anyway, best of luck with your bots =) -- Voidious

I started with trying to do k-Means, ended with k-NearestNeighbours? and simplified it to simple NN, which surprisingly works best. The only special thing is, that I develop the weights for the different features (distance, velocity, etc) via a simple genetic algorithm.

My other bot Sparse? uses something totally different. I tried to adapt a classification method called Sparse Grids to Robocode. It is especially suited for high dimensional problems and large training datasets. In comparison to other regression/classification methods it's fast, but still to slow for Robocode. It works ok, but not as good as I expected. Unfortunately I can't tell too much about it because we are still waiting for an opportunity to publish the method. -- Ebo


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Edited December 3, 2007 23:40 EST by Ebo (diff)
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