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Numfield - Modified Pi Experiment

This is a slight modification of link mailDon Reble s idea on that page , I simply replaced Pi by a strategy, which is much harder to outlearn ... at least for my strategies:
class BlindPig extends Strategy
{
    private int pi[] = {6,3,3,2,2,2,6,3,1,1};

    public int initial_turn() 
    { 
        return pi[0]; 
    }

    public int turn(int last_turns[], int scores[],
                int carryOver, int turn_no)
    {
        return pi[turn_no % pi.length];
    }
}

Simply look, what happens:

Unfortunately your browser is not able to display the Numfield simulation applet.

Hmm, so much about outlearning a simple peridic Strategy. Obviously all the initial gains by TimeWarp just base on the other loosers, which drop out even faster. As soon as all but NFocusPQ and TimeWarp are dead, even they die away...

Ideas I had in BlindPig:

T he other thing would be to set up an experimental environment, to find the optimal period-N (e.g.N=10) strategy according to a given environment ...
But this sounds like crying for a very, very fast computer. Not just a mere PC ...
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