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Return to Thread:Talk:ScalarN/Version History/3rd.

Thanks, its movement is mostly Scalar with reduced paths evaluated (inspired by Firestarter, after watching tons of battles. I guess this helped a lot because it won't trap in local minimum too much, like Scalar leaves its home, flies into a sea of bullets and gets killed)

The risk function is nothing more than popular ones found in minimum risk bots like HawkOnFire, Diamond and more. And the blending part is similar to Neuromancer (median scale), as this punishes points with danger higher than 50% points, being a perfect balance between both. However this approach doesn't seem to work well in 1v1, maybe the minimum-risk part should get some 1v1 redesign.

The gun is very simple (6 dimensions, unweighted) and traditional, with nothing special except the use of fuzzy-or (think about probability) instead of simple sum.

Being the 3rd as first entrance is more than expected, but it didn't surprise me too much, since most features found in top bots can also be found in ScalarN, and the implementation is mostly bug-free (I guess).

You can see Neuromancer fly across the battle field unharmed, Diamond hides in corner safely, Firestarter stick to the wall back and forth, and Scalar run into bullets getting killed ;)

Then ScalarN became some mix of the first three, hiding near corner/wall dodging some bullets, and gets killed when only two last ;) Remarkable APS with lowest Survival (to last) in top 10 (Survival).

Xor (talk)18:31, 27 August 2018

3rd in 1v1 now too, crazy progress you've made with ScalarN!

Skilgannon (talk)15:14, 3 October 2018

Hear hear, not only third, but making big steps towards 2nd place ! I now also know (by comparing versions 147 to 138) that my bot is rather vulnerable for AS guns . . .

GrubbmGait (talk)15:50, 3 October 2018

My suggestion is, add BulletShadow! I was ignoring the value of BulletShadow for a long time, and that's why ScalarN easily passed ScalarBot ;)

Xor (talk)16:13, 3 October 2018

Thanks ;) And most credit goes to DrussGT and Diamond where their state-of-the-art techniques are explained in detail, without which building a good bot will get much harder. And I would also like to write more details about ScalarN once it's stabilized ;)

One thing I learned from ScalarN is that you always get what you put. With knn gun, multiple tree knn wave-surfing and bullet shadow, ScalarN soon gets similar performance with Diamond (even with totally different attributes, decays, kernel functions, etc.). And with 100+ vcs buffers, DrussGT is constantly doing better than Diamond ;) I can still remember how hard I tuned ScalarBot to work against PatternMatchers but nothing works, because the lack of Diamond's style BulletShadow. Adding a correctly implemented new feature gives you much more score than tuning day and night. A major upgrade gives you much more than doing hard around yourself. And life is also just like this.

Xor (talk)16:11, 3 October 2018

so true, to quote from GresSuffurds main page: the drive to change instead of tweak

GrubbmGait (talk)16:29, 3 October 2018