Difference between revisions of "Category talk:Challenges"

From Robowiki
Jump to navigation Jump to search
 
(4 intermediate revisions by the same user not shown)
Line 74: Line 74:
 
== Top 100 robots APS/Survival Correlation ==
 
== Top 100 robots APS/Survival Correlation ==
  
Here are the top 100 robots whose APS/Survival most closely match the PCT of the robot beating them. What I mean to say, these robots if you score 80% against you are more likely 80% in the rumble. These stats are calculated from the top 100 robots pairing details. But these are obviously anything but the top 100 robots.
+
Alright, here this is better. I have calculated the robots with the top aps and survival differences compared to the robot they fought against. In short, if robot A with APS 80% fought a robot and got only 60% against it, that robot it fought would get a -20% (or as I am taking the absolute value in the difference). I also calculate the Standard Deviation from this so that a robot that is always 10% less then the APS of someone who fought against it would have a very low (in this case zero) Standard Deviation. Unlike the average difference, the SD is not calculated the absolute value (which wouldn't make sense, and would defeat the purpose of having it). I figure this list might be helpful in determining challenge robots. [http://file.csdgn.org/apssurvdiffandsds.ods You can get the spreadsheet here.] &#8212; <span style="font-family: monospace">[[User:Chase-san|Chase]]-[[User_talk:Chase-san|san]]</span> 22:58, 31 August 2011 (UTC)
  
In order from the ones which most closely match to those that don't. Using an algorithm "apsDiff+survivalDiff+|apsDiff-survivalDiff|" for sorting. As to avoid survival and aps diff that cancel out each others lose.
+
: You may notice that most well known and popular robots have higher SD then ones that are lesser known. This is expected behavior. Better known (and stronger) robots tend to get tuned against more often then those that are not and thus cause unexpectantly specialized robots against these robots, causing an increased SD due to fluctuations in aps and survival difference throughout the ranks.
<pre>
+
: This of course is not the only cause of SD increase, as that robot specializing and bugs also can cause fluctuation as well.
zeze2.OperatorZeze 1.05
+
: &#8212; <span style="font-family: monospace">[[User:Chase-san|Chase]]-[[User_talk:Chase-san|san]]</span> 00:07, 1 September 2011 (UTC)
axeBots.HataMoto 3.09
 
kvk.HebusLeTroll 0.41
 
whind.Constitution 0.7.1
 
shrub.Vapour v159
 
arthord.MannyPacquiao Delta2
 
CharlieN.Omega.Omega 1.03
 
bvh.mini.Freya 0.55
 
jp.Perpy 16.0
 
ary.Crisis 1.0
 
starpkg.StarViewerZ 1.26
 
wcsv.Stampede 1.3.3
 
hp.Athena 0.1
 
sgp.JollyNinja 3.53
 
rdt199.Warlord 0.73
 
dz.GalbaMicro 0.11
 
gm.GaetanoA 2.15
 
myl.micro.NekoNinja 1.30
 
ins.MobyNano 0.8
 
amk.ChumbaMini 0.2
 
cx.micro.Blur 0.2
 
Krabb.krabby.Krabby 1.18b
 
bjl.LoneDragon 0.5
 
demetrix.nano.Neutrino 0.27
 
ntc.Swim 0.9
 
robar.nano.MosquitoPM 1.0
 
buba.Archivist 0.1
 
eat.HumblePieLite 1.0
 
non.mega.NoName 0.0
 
jaara.LambdaBot 1.1
 
jasolo.Sonda 0.55
 
spinnercat.Robovirus 2.718
 
hamilton.Hamilton 1.0
 
muf.CrazyKitten 0.9
 
rfj.Sunburn 1.1
 
arthord.micro.Apoptygma 0.4
 
mnt.SurferBot 0.2.5
 
simonton.nano.WeekendObsession_S 1.7
 
urdos.URDOS 1.3
 
kawigi.nano.FunkyChicken 1.1
 
bvh.mini.Fenrir 0.39
 
tobe.Fusion 1.0
 
stelo.MatchupMicro 1.2
 
kc.nano.Splinter 1.2
 
tad.Dalek98 0.98
 
synnalagma.NeuralPremier 0.51
 
ds.OoV4 0.3b
 
pl.Drum 0.1
 
TJ.Exupery 1.39
 
test.Fuzzer 1.0.1
 
robar.nano.Pugio 1.49
 
timmit.micro.TimXJ 0.22
 
ahf.r2d2.R2d2 0.86
 
syl.Centipede 0.5
 
ry.LightningBug 1.0
 
jmcd.BeoWulf 2.8
 
myl.nano.Kakuru 1.20
 
nkn.mini.Jskr0 0.1
 
stelo.Randomness 1.1
 
cbot.cbot.CBot 0.8
 
robar.micro.Gladius 1.15
 
dmp.micro.Aurora 1.41
 
stelo.UnfoolableNano 1.0
 
tcf.Repat3 2
 
robar.nano.Assertive 0.3
 
ms.Ares 0.19
 
amk.ChumbaWumba 0.3
 
asm.Statistas 0.1
 
nz.jdc.nano.NeophytePattern 1.0
 
kawigi.f.FhqwhgadsMicro 1.0
 
mladjo.AIR 0.7
 
josago.Jorgito 0.16
 
stelo.PianistNano 1.3
 
labg.Cataclysm 2.05
 
kawigi.mini.Coriantumr 1.1
 
apv.NanoLauLectrik 1.0
 
fnc.bandit2002.Bandit2002 4.0.2
 
vuen.Fractal 0.55
 
jwst.DAD.DarkAndDarker 1.1
 
davidalves.net.Duelist 0.1.6src
 
alk.lap.LoudAndProud 2.23
 
arthord.NanoSatan Mu
 
apv.NanoLauLectrikTheCannibal 1.1
 
morbid.MorbidPriest 1.0
 
md.November 1.0
 
shu.nitro.LENIN .T34
 
lrem.micro.FalseProphet Alpha
 
djc.Aardvark 0.3.6
 
mladjo.GnuKlub 0.1
 
rsk1.RSK1 4.0
 
gh.GrypRepetyf 0.13
 
davidalves.net.DuelistMini 1.1
 
kinsen.nano.Senticous 1.0
 
lrem.Spectre 0.4.4
 
reaper.Reaper 1.1
 
ags.Glacier 0.2.7
 
jab.DiamondStealer 5
 
AIR.iRobot 1.0
 
myl.micro.Avipes 1.00
 
dz.OthoMicro 0.12
 
</pre>
 
 
 
Here is the list for only pure APS correlation.
 
<pre>
 
wcsv.Stampede 1.3.3
 
kc.nano.Splinter 1.2
 
mnt.SurferBot 0.2.5
 
labg.Cataclysm 2.05
 
whind.Constitution 0.7.1
 
vuen.Fractal 0.55
 
kinsen.nano.Senticous 1.0
 
stelo.PianistNano 1.3
 
non.mega.NoName 0.0
 
dummy.micro.HummingBird 2.14
 
axeBots.HataMoto 3.09
 
ary.nano.ColorNanoP 1.1
 
zeze2.OperatorZeze 1.05
 
dk.stable.Gorgatron 1.1
 
robar.nano.Vespa 0.95
 
tobe.calypso.Calypso 4.1
 
stelo.UnfoolableNano 1.0
 
ne.Chimera 1.2
 
de.erdega.robocode.Polyphemos 0.4
 
dmp.micro.Aurora 1.41
 
jab.DiamondStealer 5
 
nat.micro.Reepicheep 0.1a
 
md.Pasta 1.1
 
shrub.Vapour v159
 
djc.Aardvark 0.3.6
 
ry.LightningBug 1.0
 
stf.PanzerGeneral 0.1
 
ar.TheoryOfEverything 1.2.1
 
stelo.UntouchableNano 1.4
 
sgp.JollyNinja 3.53
 
hamilton.Hamilton 1.0
 
starpkg.StarViewerZ 1.26
 
fnc.bandit2002.Bandit2002 4.0.2
 
arthord.MannyPacquiao Delta2
 
ary.Crisis 1.0
 
md.November 1.0
 
kvk.HebusLeTroll 0.41
 
simonton.nano.WeekendObsession_S 1.7
 
CharlieN.Omega.Omega 1.03
 
tcf.Repat3 2
 
trab.nano.AinippeNano 1.3
 
tzu.TheArtOfWar 1.2
 
bvh.frg.Friga 0.112dev
 
stelo.SteloTestNano 1.0
 
syl.Centipede 0.5
 
krzysiek.robbo2.Robbo 1.0.0
 
jasolo.Sonda 0.55
 
arthord.NanoSatan Mu
 
urdos.URDOS 1.3
 
robar.nano.Assertive 0.3
 
jp.Perpy 16.0
 
lrem.Spectre 0.4.4
 
ahf.r2d2.R2d2 0.86
 
hp.Athena 0.1
 
mladjo.Startko 1.0
 
nz.jdc.nano.NeophytePRAL 1.2
 
robar.nano.Breeze 0.3
 
sadoner.killer 0.2
 
nz.jdc.nano.NeophytePattern 1.0
 
robar.nano.MosquitoPM 1.0
 
ins.MobyNano 0.8
 
am.Miedzix 3.0
 
TJ.Exupery 1.39
 
bayen.nano.Squirrel 0.2
 
jmcd.BeoWulf 2.8
 
bvh.mini.Freya 0.55
 
DM.Mijit .3
 
stelo.MatchupMicro 1.2
 
mk.Alpha 0.2.1
 
gm.GaetanoA 2.15
 
shu.nitro.LENIN .T34
 
josago.Jorgito 0.16
 
myl.micro.NekoNinja 1.30
 
KiraNL.SpaceKees 0.1
 
ags.Glacier 0.2.7
 
ntc.Swim 0.9
 
ratosh.nano.Debo 1.36
 
chase.s2.Genesis 1.1
 
buba.Archivist 0.1
 
dummy.micro.Sparrow 2.5
 
test.Fuzzer 1.0.1
 
pl.Drum 0.1
 
dz.GalbaMicro 0.11
 
lrem.quickhack.QuickHack 1.0
 
test.Podgy 4.0
 
ds.OoV4 0.3b
 
ntc.Lasers.Lasers 0.9
 
amk.ChumbaWumba 0.3
 
stelo.Lifestealer 1.0
 
kurios.DOSexe .9a
 
rdt199.Warlord 0.73
 
reaper.Reaper 1.1
 
kano.gamma.KanoGamma 1.8
 
rsk1.RSK1 4.0
 
cx.micro.Blur 0.2
 
amk.ChumbaMini 0.2
 
krillr.mini.JointStrike 2.0.0
 
arthord.micro.Apoptygma 0.4
 
Krabb.krabby.Krabby 1.18b
 
bjl.LoneDragon 0.5
 
</pre>
 
 
 
My plan later is to get the top 100% aps/survival gain/loss difference. Meaning win 60% and aps 80% and another win 40% and aps 60% would be a high correlation. Which I think will be more useful data. &#8212; <span style="font-family: monospace">[[User:Chase-san|Chase]]-[[User_talk:Chase-san|san]]</span> 10:27, 31 August 2011 (UTC)
 

Latest revision as of 01:09, 1 September 2011

Hey all, I suggest to re-structure the Challenges category. Base on Challenges at the old wiki, I have this categories structure

  • Category: Challenges
    • Category: Controlled Testing Environments Challenges
    • Category: Uncontrolled Testing Environments Challenges
    • Category: Movement Challenges
      • Category: Wave Surfing Challenges
      • Category: RoboRumble Movement Challenges
    • Category: Targeting Challenges
      • Category: RoboRumble Targeting Challenges
    • Category: Melee Challenges
    • Category: Extends-Robot Challenges

With this list of challenges:

  • Targeting Challenge
    • Category: Targeting Challenges, Controlled Testing Environments Challenges, Challenges
  • Targeting Challenge 2K6
    • Category: Targeting Challenges, Controlled Testing Environments Challenges, Challenges
  • Targeting Challenge 2K7
    • Category: Targeting Challenges, Controlled Testing Environments Challenges, Challenges
  • Targeting Challenge RM
    • Category: Targeting Challenges, Controlled Testing Environments Challenges, Challenges
  • Pattern Matcher Challenge
    • Category: Targeting Challenges, Controlled Testing Environments Challenges, Challenges
  • Pattern Matcher Challenge 2K6
    • Category: Targeting Challenges, Controlled Testing Environments Challenges, Challenges
  • Movement Challenge
    • Category: Movement Challenges, Controlled Testing Environments Challenges, Challenges
  • Movement Challenge 2K6
    • Category: Movement Challenges, Controlled Testing Environments Challenges, Challenges
  • Movement Challenge 2K7
    • Category: Movement Challenges, Controlled Testing Environments Challenges, Challenges
  • Wave Surfing Challenge
    • Category: Wave Surfing Challenges, Movement Challenges, Controlled Testing Environments Challenges, Challenges
  • Wave Surfing Challenge 2K6
    • Category: Wave Surfing Challenges, Movement Challenges, Controlled Testing Environments Challenges, Challenges
  • Anti Pattern Matching Challenge
    • Category: Movement Challenges, Controlled Testing Environments Challenges, Challenges
  • Anti Pattern Matching Challenge 2K6
    • Category: Movement Challenges, Controlled Testing Environments Challenges, Challenges
  • Curve Flattening Challenge
    • Category: Movement Challenges, Controlled Testing Environments Challenges, Challenges
  • Curve Flattening Challenge 2K6
    • Category: Movement Challenges, Controlled Testing Environments Challenges, Challenges
  • Challenge 2K9
    • Category: (will discuss later)
  • DevilFISH Challenge
    • Category: Wave Surfing Challenges, Movement Challenges, Uncontrolled Testing Environments Challenges, Challenges
  • Barracuda Challenge
    • Category: Wave Surfing Challenges, Movement Challenges, Uncontrolled Testing Environments Challenges, Challenges
  • SandboxDT Challenge
    • Category: Uncontrolled Testing Environments Challenges, Challenges
  • Phoenix Challenge
    • Category: Targeting Challenges, Controlled Testing Environments Challenges, Challenges
  • Shark Challenge
    • Category: Wave Surfing Challenges, Movement Challenges, Uncontrolled Testing Environments Challenges, Challenges
  • MeleeRumble Movement Challenge
    • Category: Melee Challenges, Movement Challenges, RoboRumble Movement Challenges, Uncontrolled Testing Environments Challenges, Challenges
  • Sample Bot Melee Change
    • Category: Melee Challenges, Uncontrolled Testing Environments Challenges, Challenges
  • Melee Surfing Challenge
    • Category: Melee Challenges, Wave Surfing Challenges, Uncontrolled Testing Environments Challenges, Challenges
  • Rambot Challenge 2K6
    • Category: Uncontrolled Testing Environments Challenges, Challenges
  • RoboRumble Movement Challenge
    • Category: Movement Challenges, RoboRumble Movement Challenges, Uncontrolled Testing Environments Challenges, Challenges
  • RoboRumble Gun Challenge
    • Category: Targeting Challenges, RoboRumble Targeting Challenges, Uncontrolled Testing Environments Challenges, Challenges
  • Wave Surfing Gun Challenge
    • Category: Targeting Challenges, RoboRumble Targeting Challenges, Uncontrolled Testing Environments Challenges, Challenges

Sorry for it really loooooooooooooooooooong. Any comments are welcome. » Nat | Talk » 14:43, 26 April 2009 (UTC)

Top 100 robots APS/Survival Correlation

Alright, here this is better. I have calculated the robots with the top aps and survival differences compared to the robot they fought against. In short, if robot A with APS 80% fought a robot and got only 60% against it, that robot it fought would get a -20% (or as I am taking the absolute value in the difference). I also calculate the Standard Deviation from this so that a robot that is always 10% less then the APS of someone who fought against it would have a very low (in this case zero) Standard Deviation. Unlike the average difference, the SD is not calculated the absolute value (which wouldn't make sense, and would defeat the purpose of having it). I figure this list might be helpful in determining challenge robots. You can get the spreadsheet here.Chase-san 22:58, 31 August 2011 (UTC)

You may notice that most well known and popular robots have higher SD then ones that are lesser known. This is expected behavior. Better known (and stronger) robots tend to get tuned against more often then those that are not and thus cause unexpectantly specialized robots against these robots, causing an increased SD due to fluctuations in aps and survival difference throughout the ranks.
This of course is not the only cause of SD increase, as that robot specializing and bugs also can cause fluctuation as well.
Chase-san 00:07, 1 September 2011 (UTC)