Anti-Surfer Targeting

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Revision as of 20 March 2019 at 08:30.
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Anti-Surfer Targeting

I have been tuning WhiteFang's gun lately and while I could get a lot of success in TCRM with genetic algorithms my AS targeting isn't improving a bit.
Thinking logically finding weights with genetic algorithm shouldn't be as effective against learning movement as they change how they move but I had though it would do better than some randomly assigned weights.
Currently the best score I have got is 69.36 with the current AS targeting which is just the main gun with 10 times the decay and lower K.
Any advice about how to tune it?
    Dsekercioglu (talk)10:47, 19 March 2019

    I found recorded data, like WaveSim, still quite useful when it comes to hit adaptive movement.

    The reason maybe anti-intuitive, but as long as their movement & your gun can be considered random, it’s still logical.

    And although intuitively wave surfing is not random, in fact, they are. The reason is simple, non-linearity & self feedback.

    They are only not random with specific information, but certainly you can’t have them for everyone.

    And about genetic tuning, I think they are useful, but only after you get basic stuff right, e.g. precise intersection, using only firing waves etc.

      Xor (talk)06:29, 20 March 2019
      I have a simple precise prediction but I see these kind of things more of a guaranteed improvement rather than a necessity for tuning.
      What do you mean by using only firing waves?=)
      I might have to move to -1 to 1 GF system rather than the current system with 51 bins.
      The problem I had was after tuning against 3 Raiko micro matches I had a 0.9% improvement in TCRM but after 3 matches against 9 different surfers I had a 5% score loss.
      Any attributes that help a lot against surfers?
        Dsekercioglu (talk)09:30, 20 March 2019