Awesome enty
I’m surprised as well. Btw, how many layers are you using in the deeper model? And is that fully connected? I guess some deeper models with explicit feature interactions may work better in robocode scenario, given high noise. I would try things like Deep&Cross, DeepFM, etc.
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Return to Thread:Talk:BeepBoop/Awesome enty/reply (17).
One more detail, are you doing any encoding before inputting them into the NN part? I remembered Darkcanuck had some rather succesful attempt in NN (end-to-end), by binning features like the old VCS ways.
And since most features are essentially tabular, apart from the NN approaches with explicit feature interaction, GBDT can work very well as some feature transformation & interaction tool. There are also approaches using GBDT to do clustering, by converting clustering into classifying “dense” & “sparse” of space.
I'm using no special encoding, just normalizing the features so they are between 0 and 1. Decision-tree-like algorithms have been tried in robocode before (e.g. Wiki_Targeting/Dynamic_Segmentation), but not in conjunction with clustering/KNN as far as I know.
