Hard-coded segmentation

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I have actually been working for awhile to find a set of gun weights that is both highly efficient against both surfers and random movers, the same with a single set for movement to be good against both Statistical, kNN and Pattern Matching targeting. Since my most recent bots I eschew the use of Flatteners and Virtual Guns. Obviously I did okay coming in number 7 in the rumble, but I feel there is still room for improvement.

Though I really do think there are different optimal weights for different enemies, but there might be a set that does well against all enemies (if not optimally).

Chase06:56, 7 December 2013

A single set that does ok against everyone is what is already calculated with genetic tuning against the whole population at once.

MN (talk)20:40, 7 December 2013

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Return to Thread:User talk:MN/Hard-coded segmentation/reply (11).

Giving equal weight to surfers and non-surfers will hurt APS ranking. But may increase PL ranking.

MN (talk)19:57, 8 December 2013
 

If multi-objective optimization is being done, than surfers and non-surfers can be separated in distinct objectives. The output will be many different sets of weights, with different compromises between surfers and non-surfers, although all of them Pareto efficient.

MN (talk)20:01, 8 December 2013