Virtual Guns with Swarm Targeting?

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I think the best would be having individual guns, and using leave-one-out cross validation to test which gun actually gives better results on the historical data at fire time. This would skip needing to track separate hitrates for guns that you don't know where they would fire.

Skilgannon (talk)‎17:32, 31 December 2017

If I understand correctly, for n firing waves w = {w1..wn}, LOOCV involves training the gun with w - {wi}, then test with wi, for all i. For knn guns, this means doing n “(k+1)nn” searches (then exclude wi from result), and for neural networks, this means feeding the network n(n-1) waves in total. Isn’t that costly for robocode? Or may there be some faster ways?

Xor (talk)‎05:05, 1 January 2018

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Return to Thread:Talk:Virtual Guns/Virtual Gun with Swarm Targeting?/reply (7).

So do you mean only 2~3 waves need to be tested? I thought we need to iterate through every fired waves and do a knn search for each.

Xor (talk)‎15:14, 6 January 2018
 
 
 
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