entering

MN thank you. I used all the datas the average hit rate increased like % 0.8. After I added auto-tuning for setting weights and average hit rate increased about %0.9.

The 2 segments which differ most between different opponents are the real/virtual wave segment and the data decay (time) segment. These are the 2 usually separated between "general purpose" and "anti-surfer" sets of segments.

Note that using many different targeting strategies for different situations may slow down learning speed (time wasted auto-tuning the gun for the optimal strategy). Because of this, most top bots use only 1 or 2 guns.

I don't create a new gun and start it from the beginning. I test the segments alone and when they hit I multiply it with a default. So it keeps learning and uses the same kd-tree all the time. Also according to my results it increases learning.

This is the code of Tuning:(There are more code for intersection but the most simple one is this)

           if (Tools.getDistance(currentX, currentY, myXD, myYD) < 72) {
               AntiBotTuner.movementScores[index] *= 1.1;
           }

Usage of weights:

double diff = Math.abs(p1[index] - p2[index]) * dsekercioglu.AntiBotTuner.movementScores[i];

In the future versions I will also use an Anti-Surfer Gun.