Difference between revisions of "User:CrazyBassoonist"

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(Rating went down...)
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[[TipToe]]- Uses an interesting form of random movement I created. Also uses a very buggy linear targeting gun that I created/am creating. (Completely my own. Didn't use the tutorial's code at all.)
 
[[TipToe]]- Uses an interesting form of random movement I created. Also uses a very buggy linear targeting gun that I created/am creating. (Completely my own. Didn't use the tutorial's code at all.)
  
[[DolphinAR]]- New robot, uses stop and go with a learning gun. Ranked 287 in the main rumble currently (big jump from previous bots ranking of 607)
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[[DolphinAR]]- New robot, uses stop and go with a learning gun. Ranked 325 in the main rumble currently (big jump from previous bots ranking of 607)
  
  

Revision as of 02:32, 22 February 2009

About Me:

I learned about Robocode while doing a report on artificial intelligence for school, and so far I've found it very enjoyable. Unfortunately, I'm extremely new (as in no previous experience) to Robocode, Java, and programming in general. I am also not yet old enough to be taking geometry, which seems to be important for this game. However, I'm a fast learner and I'm sure I can figure it out. As you may have guessed, one of my hobbies is playing the bassoon.

My Robots:

MagicD2- My first robot, a very simple nanobot. It has head-on targeting and it strafes around the enemy, changing directions when they fire.

TipToe- Uses an interesting form of random movement I created. Also uses a very buggy linear targeting gun that I created/am creating. (Completely my own. Didn't use the tutorial's code at all.)

DolphinAR- New robot, uses stop and go with a learning gun. Ranked 325 in the main rumble currently (big jump from previous bots ranking of 607)


My Progress:

February 16, 2009: Made my first learning gun... I'm not sure what type it would be, maybe a non-virtual gun. What it does is it assigns each of two different gun types random hit percentages at the beginning of a match and then uses them each randomly until it has enough data to choose one.However, because it has no certain way of knowing which gun fired the bullet that hit the other robot, it is heavily biased towards whatever gun it chooses at the beginning, thus leading to its extremely random score over short periods of time. Without movement added it gets 74% on average against walls over a thousand rounds, and anywhere from 81% to 38% over 35 rounds.