Difference between revisions of "Thread:User talk:Jmb/Welcome/reply (3)"
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Here's the latest rankings... | Here's the latest rankings... | ||
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11/06/2012 12:27 | 11/06/2012 12:27 | ||
Results for 500 rounds | Results for 500 rounds | ||
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14th arp.Gimp 1.0* 152729 (4%) 134200 280 17114 314 797 25 2 27 20 | 14th arp.Gimp 1.0* 152729 (4%) 134200 280 17114 314 797 25 2 27 20 | ||
15th apc.bot42* 136208 (4%) 96650 280 37767 871 640 1 2 8 6 | 15th apc.bot42* 136208 (4%) 96650 280 37767 871 640 1 2 8 6 | ||
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I think part of walls success is due to being out of radar range at times, but mostly because he stays out of the fray in the middle of the field. | I think part of walls success is due to being out of radar range at times, but mostly because he stays out of the fray in the middle of the field. | ||
A number of robots have run into issues with their enemy being out of radar range. If your movement code never looks to seek our your opponent he could hide outside of radar range, no one appears to have tried that strategy yet. | A number of robots have run into issues with their enemy being out of radar range. If your movement code never looks to seek our your opponent he could hide outside of radar range, no one appears to have tried that strategy yet. | ||
Revision as of 10:41, 14 June 2012
Thanks for the welcome guys. It's great to know there's still a active community years after the game was introduced!
Voidious, I guess it's a privillage knowing other robocoders, hadn't thought about that. Have you considered trying to organise a competition in your city? A group like the local Linux Users Group, or ACM might be interested. I've consider running something like that after this comp is over. I have a feeling I might be hooked on robocode for a while.
Happy to talk more about our competition, let me know if you have any questions.
Here's the latest rankings...
11/06/2012 12:27 Results for 500 rounds Rank Robot Name Total Score Survival Surv Bonus Bullet Dmg Bullet Bonus Ram Dmg * 2 Ram Bonus 1sts 2nds 3rds 1st MarksRobots.Mbotv1* 407104 (12%) 279100 19880 99602 7967 462 93 142 81 75 2nd apc.BadWolf* 380278 (11%) 256350 18060 95338 8854 1619 57 129 61 59 3rd apc.LeeroyJenkins2* 373103 (11%) 265800 16660 82728 6402 1505 9 119 121 58 4th apc.FaceOfBoe 1.0* 283546 (8%) 217900 5320 55499 2345 2318 164 38 58 65 5th apc.Colossus2 0.13 258344 (7%) 196950 5460 50655 3553 1682 45 39 24 59 6th apc.ShellyBot* 231230 (7%) 136400 700 76411 6193 10590 935 5 8 7 7th Tim.Maximillian 1.0 218011 (6%) 152950 560 58376 3448 2632 45 4 11 23 8th wally.walnut* 200190 (6%) 164850 980 32508 1021 821 10 7 31 34 9th apc.Walls* 197329 (6%) 162850 420 32364 890 796 10 3 30 42 10th apc.JarrodDoomedRobot* 167150 (5%) 149300 1400 15339 514 596 0 10 21 25 11th apc.stratman* 167081 (5%) 133450 0 31216 1015 1393 7 0 6 9 12th apc.Squirrel* 164965 (5%) 134050 0 29142 341 1421 12 0 6 6 13th apc.Legin* 156496 (4%) 142250 0 12810 82 1343 11 0 8 11 14th arp.Gimp 1.0* 152729 (4%) 134200 280 17114 314 797 25 2 27 20 15th apc.bot42* 136208 (4%) 96650 280 37767 871 640 1 2 8 6
I think part of walls success is due to being out of radar range at times, but mostly because he stays out of the fray in the middle of the field. A number of robots have run into issues with their enemy being out of radar range. If your movement code never looks to seek our your opponent he could hide outside of radar range, no one appears to have tried that strategy yet. I noticed when testing my robot last night with Genesis and Diamond, Diamond shot all it's energy into a wall while Genesis sat outside of radar range doing nothing. Naturally I my robot was dead at that stage...
If you look at bot42, you'll notice it has unexpectedly high bullet damage for its survival. It's using a neural network to determine the best targeting strategy to use. He's implemented linear, circular, and pattern matching I believe. If he can improve his movement, I'd expect him to jump up the ranks.
Legin and Squirrel and largely unmodified Sample.Crazy. Wallnut and Gimp are modified Sample.Walls.
Since you are all so helpful, a couple of questions... 1. Has any one attempted to develop a targeting system based on a regression line of previous movements? It is an idea I'm considering... http://en.wikipedia.org/wiki/Polynomial_regression 2. Is there a place I can get an explaination of all the numbers in the darkcanuck roborumble tables? I haven't been able to find it on the wiki and I'm not familar with some of the numbers (such as Glicko-2 etc)
