Editing Dookious/DookiLightning

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Dookious's gun is called [[/DookiLightning|DookiLightning]] after its first full rewrite; it was originally called [[/DookiSaber|DookiSaber]] (before 1.20). There's not a whole lot particularly unique about it, but it's a clean, well tuned gun, and probably the best general purpose rumble gun out there right now. The margin to [[Phoenix]], [[Ascendant]], and perhaps CassiusClay, is not too big, though.

Here, I'll give some descriptions about Dooki's gun, and also track its scores in the [[TargetingChallenge2K6]] and [[RRGunChallenge]].

(Not every version will have its scores here, because not every version is a gun update, and not every version lasts long enough to make it worth running the test. All the important gun versions get tested, though.)

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==== [[RRGunChallenge]] ====
| '''Version''' | '''Battles''' | '''RR Rating''' | '''Date''' | '''Comments'''
| ''1.161'' | 1,234 | '''1887''' | 9/1/2006 |
| ''1.10'' | 1,184 | '''1881''' | 7/21/2006 | Improvements to AntiSurfer gun; 3-4 points for Dookious, PL champ
| ''1.06'' | 1,220 | '''1884''' | 5/29/2006 | First significant improvement to <nowiki>DookiSaber</nowiki> in a while; 10+ points ahead of Dookious 0.98, which used 1.0 gun
| ''1.043'' | 1,080 | '''1873''' | 4/30/2006 | 
| ''1.0'' | 1,053 | '''1869''' | 4/19/2006 | This gun update resulted in a 7 point jump for [[Dookious]].
| ''0.965'' | 1,172 | '''1861''' | 4/14/2006 |
| ''0.96'' | 1,096 | '''1866''' | 4/11/2006 |

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==== [[TargetingChallenge2K7|TC2K7 500 rounds]] ====
| '''Version''' | '''CC''' | '''DM''' | '''FT''' | '''GG''' | '''RMX''' | '''RMC''' | '''SHA''' | '''WS''' | '''WOE''' | '''WLO''' | '''Non-Surf''' | '''Surf''' | '''Total''' | '''Seasons''' 
| ''1.543'' | 73.85 | 91.13 | 83.03 | 90.56 | 83.56 | 83.86 | 67.76 | 86.03 | 83.73 | 89.17 |  '''87.55''' |  '''78.99''' |  '' '''83.27''' '' |  10

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==== [[TargetingChallenge2K6|TC2K6 500 rounds]] ====
| '''Version''' | '''BFly''' | '''CC''' | '''Chk''' | '''Cig''' | '''Cya''' | '''DM''' | '''FM''' | '''Grb''' | '''RMB''' | '''Tig''' | '''Non-Surf''' | '''Surf''' | '''Total''' | '''Seasons'''
| ''1.471'' | 99.89 | 73.51 | 95.72 | 90.10 | 79.70 | 96.58 | 93.42 | 93.93 | 94.73 | 93.73 |  '''94.78''' | '''85.67''' | '' '''91.13''' '' |  5  
| ''1.23'' | 99.90 | 72.79 | 94.67 | 90.27 | 77.34 | 96.79 | 94.02 | 93.96 | 95.01 | 94.13 |  '''94.99''' | '''84.73''' | '' '''90.89''' '' |  20  
| ''1.161'' | 99.91 | 71.33 | 94.44 | 90.22 | 79.43 | 96.61 | 93.80 | 93.73 | 95.05 | 93.74 |  '''94.89''' | '''84.74''' | '' '''90.83''' '' |  8
| ''1.16'' | 99.93 | 72.11 | 94.64 | 89.20 | 78.97 | 96.76 | 93.60 | 94.11 | 94.42 | 92.87 |  '''94.67''' | '''84.65''' | '' '''90.66''' '' |  6
| ''1.10'' | 99.81 | 70.61 | 93.35 | 89.12 | 77.18 | 96.46 | 92.31 | 92.86 | 93.01 | 92.88 |  '''93.93''' | '''83.51''' | '' '''89.76''' '' |  15
| ''1.06'' | 99.94 | 69.60 | 93.54 | 89.96 | 77.56 | 96.22 | 91.92 | 93.02 | 92.55 | 90.61 |  '''93.94''' |  '''82.83''' | '' '''89.49''' '' |  3 
| ''0.98'' | 99.63 | 70.85 | 94.39 | 88.56 | 78.93 | 95.62 | 93.17 | 92.79 | 89.87 | 91.51 |   '''93.27''' | '''83.92''' | '' '''89.53''' '' |  1  
| ''0.965''  | 99.98 | 69.77 | 93.12 | 89.88 | 77.09 | 95.38 | 94.28 | 92.51 | 92.12 | 92.93 |   '''94.03''' | '''83.23''' | '' '''89.71''' '' |  2
| ''0.91''  | 99.97 | 71.72 | 93.52 | 86.59 | 78.96 | 95.61 | 91.25 | 92.39 | 93.32 | 90.91 |   '''93.19''' | '''83.78''' |  '' '''89.42''' '' |  3
| ''0.88''  | 99.92 | 71.26 | 91.88 | 85.61 | 76.89 | 95.20 | 91.73 | 92.65 | 92.89 | 92.14 |   '''93.00''' | '''83.04''' |  '' '''89.02''' '' |  1
| ''0.87''  | 99.95 | 69.52 | 94.27 | 87.49 | 77.85 | 95.38 | 92.57 | 91.77 | 92.52 | 90.80 |   '''93.28''' | '''83.11''' |  '' '''89.21''' '' |  5
| ''0.82''  | 99.97 | 69.39 | 91.82 | 85.28 | 74.11 | 94.58 | 90.62 | 92.79 | 92.12 | 91.34 |   '''92.56''' | '''81.67''' |  '' '''88.20''' '' |  4
| ''0.816'' | 99.86 | 68.09 | 91.82 | 82.41 | 72.89 | 94.82 | 89.97 | 89.48 | 92.54 | 92.17 |   '''91.51''' | '''81.24''' |  '' '''87.41''' '' |  1
| ''0.813'' | 99.86 | 68.99 | 90.38 | 83.40 | 74.41 | 94.70 | 90.72 | 92.02 | 91.36 | 88.75 |   '''92.01''' | '''80.63''' |  '' '''87.46''' '' |  3
| ''0.81''  | 99.75 | 69.71 | 86.74 | 84.04 | 75.45 | 92.08 | 91.75 | 93.52 | 92.24 | 92.78 |    '''92.23''' | '''81.17''' |  '' '''87.81''' '' |  1
| ''0.80''  | 99.79 | 68.89 | 87.70 | 82.56 | 71.84 | 94.58 | 90.49 | 91.28 | 91.79 | 91.42 |   '''91.75''' | '''79.96''' |  '' '''87.03''' '' |  10
| ''0.78''  | 99.65 | 67.27 | 89.24 | 83.43 | 71.71 | 92.37 | 87.85 | 89.45 | 87.33 | 88.73 |  '''90.01''' | '''79.24''' |  '' '''85.70''' '' |  1
| ''0.76''  | 99.99 | 66.23 | 85.33 | 76.70 | 72.76 | 92.13 | 89.08 | 88.32 | 89.29 | 88.10 |  '''89.25''' |  '''78.11''' | '' '''84.79''' '' |  1
| ''0.72''  | 99.89 | 68.93 | 88.22 | 80.91 | 76.17 | 90.15 | 87.53 | 88.00 | 89.42 | 93.48 |  '''89.32''' |  '''81.70''' | '' '''86.27''' '' |  1
| ''0.70''  | 99.65 | 67.19 | 88.82 | 79.95 | 76.37 | 92.18 | 87.43 | 88.22 | 88.01 | 88.79 |  '''89.24''' |  '''80.29''' | '' '''85.66''' '' |  3
| ''0.65''  | 99.34 | 67.23 | 89.30 | 78.90 | 74.96 | 90.47 | 88.23 | 85.54 | 89.04 | 90.66 |  '''88.59''' |  '''80.54''' | '' '''85.37''' '' |  1
| ''0.611''  | 99.32 | 67.71 | 88.19 | 78.96 | 78.6 | 92.08 | 89.48 | 85.89 | 87.25 | 84.27 |  '''88.83''' |  '''79.69''' | '' '''85.18''' '' |  1

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==== [[TargetingChallenge2K6/FastLearning|TC2K6 FastLearning]] ====

| '''Version''' | '''BFly''' | '''CC''' | '''Chk''' | '''Cig''' | '''Cya''' | '''DM''' | '''FM''' | '''Grb''' | '''RMB''' | '''Tig''' | '''Non-Surf''' | '''Surf''' | '''Total''' | '''Seasons'''
| ''1.23'' | 99.69 | 74.95 | 89.37 | 84.66 | 79.71 | 93.44 | 94.72 | 90.51 | 92.64 | 93.63 |  '''92.61''' | '''84.42''' | '' '''89.33''' '' |  100  
| ''1.161'' | 99.67 | 72.94 | 89.02 | 84.19 | 78.37 | 94.24 | 94.05 | 90.59 | 93.08 | 92.65 |  '''92.64''' | '''83.25''' | '' '''88.88''' '' |  100
| ''1.16'' | 99.66 | 73.19 | 89.07 | 83.90 | 78.22 | 93.84 | 94.70 | 90.97 | 92.71 | 93.19 |  '''92.60''' | '''83.42''' | '' '''88.94''' '' |  100
| ''1.10'' | 99.46 | 71.77 | 87.98 | 83.92 | 76.70 | 93.88 | 92.36 | 88.79 | 89.33 | 91.88 |  '''91.29''' |  '''82.08''' | '' '''87.61''' '' |  100  
| ''1.09'' | 99.62 | 70.08 | 87.21 | 83.18 | 76.80 | 93.96 | 93.62 | 89.08 | 89.86 | 91.10 |  '''91.55''' |  '''81.30''' | '' '''87.45''' '' |  100 
| ''0.98'' | 99.82 | 69.36 | 88.71 | 83.45 | 78.96 | 93.32 | 93.49 | 89.67 | 88.49 | 90.80 |   '''91.37''' |  '''81.96''' | '' '''87.61''' '' |  25  
| ''0.965'' | 99.70 | 70.45 | 87.26 | 83.69 | 75.84 | 93.29 | 92.55 | 89.57 | 88.76 | 90.50 |   '''91.26''' |  '''81.01''' | '' '''87.16''' '' |  50  
| ''0.88''  | 99.81 | 69.97 | 87.50 | 82.84 | 77.75 | 91.78 | 93.20 | 89.86 | 89.66 | 90.96 |   '''91.19''' |  '''81.55''' | '' '''87.33''' '' |  50
| ''0.87''  | 99.51 | 69.44 | 86.15 | 81.73 | 77.58 | 91.77 | 93.11 | 88.87 | 90.52 | 89.11 |   '''90.92''' |  '''80.57''' | '' '''86.78''' '' |  50
| ''0.82''  | 99.64 | 69.43 | 86.47 | 79.16 | 74.51 | 91.21 | 90.22 | 87.78 | 89.40 | 90.22 |   '''89.57''' |  '''80.16''' | '' '''85.80''' '' |  25
| ''0.816'' | 99.22 | 70.82 | 85.70 | 80.11 | 73.38 | 91.82 | 92.29 | 88.78 | 89.32 | 90.70 |   '''90.26''' |  '''80.15''' | '' '''86.22''' '' |  50
| ''0.813''  | 99.49 | 68.63 | 83.59 | 79.53 | 74.25 | 91.97 | 92.97 | 87.82 | 89.68 | 90.43 |   '''90.24''' |  '''79.23''' | '' '''85.84''' '' |  50
| ''0.80''  | 99.47 | 69.38 | 82.61 | 80.33 | 72.66 | 92.10 | 92.26 | 89.09 | 89.23 | 91.01 |  '''90.41''' |  '''78.92''' | '' '''85.81''' '' |  50
| ''0.78''  | 98.51 | 68.49 | 80.12 | 78.50 | 72.61 | 89.78 | 90.29 | 84.49 | 84.00 | 89.50 |  '''87.60''' |  '''77.68''' | '' '''83.63''' '' |  30
| ''0.775''  | 99.32 | 69.34 | 82.43 | 80.55 | 75.85 | 90.19 | 87.61 | 82.26 | 83.46 | 89.40 |  '''87.23''' |  '''79.26''' | '' '''84.04''' '' |  11
| ''0.76''  | 98.16 | 67.74 | 82.36 | 77.93 | 72.90 | 89.49 | 91.33 | 84.40 | 85.31 | 88.78 |  '''87.77''' |  '''77.95''' | '' '''83.84''' '' |  15
| ''0.72''  | 98.67 | 68.49 | 82.70 | 79.21 | 74.09 | 88.10 | 90.90 | 83.36 | 87.46 | 91.97 |  '''87.95''' |  '''79.31''' | '' '''84.49''' '' |  15
| ''0.70''  | 98.13 | 69.26 | 82.00 | 77.55 | 73.08 | 89.81 | 91.82 | 84.99 | 85.88 | 87.45 |  '''88.03''' |  '''77.95''' | '' '''84.00''' '' |  15
| ''0.65''  | 98.11 | 68.35 | 83.73 | 76.45 | 73.94 | 88.65 | 92.51 | 84.59 | 84.81 | 87.64 |  '''87.52''' |  '''78.42''' | '' '''83.88''' '' |  15
| ''0.611''  | 98.01 | 67.25 | 80.30 | 76.30 | 71.96 | 89.98 | 90.53 | 83.11 | 84.48 | 81.60 |  '''87.07''' |  '''75.28''' | '' '''82.35''' '' |  15

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Dookious uses two guns in a VirtualGuns array. The "Main Gun" is designed for most RoboRumble opponents, while the "AntiSurfer Gun" is designed to hit WaveSurfers (of course) and other adaptive movements. VirtualBullets are synchronized with real bullets, as opposed to being fired every tick. If the rating for the Main Gun is above a certain point, there is a bias against selecting the AntiSurfer gun when comparing ratings. The ratings use [[RollingAverage]]s with a rolling depth of about 20 rounds.

The Main Gun uses firing and non-firing waves to collect data. The non-firing waves are weighted less, but since this gun is generally geared towards non-[[AdaptiveMovement]], the weight is still pretty high (1/5) for non-firing waves. The rolling depth is very high - it essentially won't roll the stats at all in a normal match.

The AntiSurfer gun gives a lower weight to non-firing waves (1/10 right now), has its own segmentation, and also logs negative hits for bullet hits to partially simulate the enemy's adaptation. It uses a very low rolling depth (currently 1). The idea is that as a WaveSurfer changes his movement choice for a given segment, all previous data Dookious collected is quickly becoming inaccurate. I would say that [[Phoenix]] and [[Shadow]] might have better AntiSurfer guns than Dookious, but not by too much.

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Once I got to the point that I completely understood WaveSurfing and GuessFactorTargeting - though my implementations were still quite buggy - I started to peek at the source code for some other tanks, particularly [[CassiusClay]]. I learned a lot from the [[CassiusClay/Bee|Bee gun]], particularly about segmentation methods for certain data, but also about general code structure for a tank. Major props go to [[PEZ]] for a tank that has taught me a lot. I should also give an honorable mention to [[Jamougha]], whose [[Raiko]] gun I took a peek at when working on the [[TargetingChallenge2K6]]. I was quite amazed that what seemed like such a simple set of segments could yield such an excellent gun; and I think that was an important thing to learn.

Formal credit needs to go to [[Paul Evans]] for being the inventor of [[GuessFactorTargeting]], as well as [[PEZ]] for the introduction (although perhaps not solely) of [[VirtualGuns]].

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== Comments ==

I'm running the [[TargetingChallenge2K6/FastLearning|FastLearning]] benchmark at home right now for 0.813; I'll be very interested to see how it turns out. -- [[Voidious]]

Version 0.82 is ditching the 0.81 - 0.816 segmentations and going back to 0.80, and I'll work from there. (Version 0.80 ranked 4-5 points higher than 0.816 and everything else between.) The dev version is using 0.80's gun segmentations, the new AntiSurfer / VirtualGuns stuff introduced in 0.816, and some small (but good) tweaks to the aiming code itself. -- [[Voidious]]

While the change in 0.91 is not huge in the TC scores, I do see a good reason to use the precise calculations of GF1 and GF-1 in the gun... In a WaveSurfing movement with [[WaveSurfing/PrecisePrediction|PrecisePrediction]], you are already only considering the scores of bins that you can actually get to; but in a gun, depending on various factors, what is considered the correct bearing to aim at may actually be an impossible bearing for the enemy to get to. I am sure that's a rare situation, but if the TC scores are the same or better (which they clearly are), it seems advantageous to just make sure that never happens. -- [[Voidious]]

Summary:
Consciousness check: 9 * 11 =
This change is a minor edit. Send email notification that Dookious/DookiLightning has been changed.
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