Difference between revisions of "WhiteFang"
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Dsekercioglu (talk | contribs) (Didn't realise that it passed CC again) |
Dsekercioglu (talk | contribs) |
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; What's special about it? | ; What's special about it? | ||
: ''It is a complete determinist." | : ''It is a complete determinist." | ||
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; Great, I want to try it. Where can I download it? | ; Great, I want to try it. Where can I download it? | ||
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;Credits | ;Credits | ||
| − | :"[[ | + | :"[[Skilgannon]]" for the bugless, fast Kd-tree |
:''[[Cb]]'' for non iterative wall smoothing. | :''[[Cb]]'' for non iterative wall smoothing. | ||
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; How does it fire? | ; How does it fire? | ||
| − | : | + | : Will be written. |
; How does it [[Dodging Bullets|dodge bullets]]? | ; How does it [[Dodging Bullets|dodge bullets]]? | ||
Revision as of 10:57, 26 December 2017
Background Information
- Bot Name
- WhiteFang.
- Author
- ''dsekercioglu.''
- Extends
- AdvancedRobot.
- What's special about it?
- It is a complete determinist."
- Great, I want to try it. Where can I download it?
- https://www.dropbox.com/s/egn7ju5rtyjpdqw/dsekercioglu.knn.WhiteFang_1.1.jar?dl=1
- How competitive is it?
- I would say competitive, 28th currently.
- Credits
- "Skilgannon" for the bugless, fast Kd-tree
- Cb for non iterative wall smoothing.
Strategy
- How does it move?
- True Surfing
- How does it fire?
- Will be written.
- How does it dodge bullets?
- Surfs the bins generated by KNN algorithm.
- How does the melee strategy differ from One-on-one strategy?
- It doesn't currently support melee.
- How does it select a target to attack/avoid in melee?
- The first enemy it sees.
- What does it save between rounds and matches?
- Everything I guess.
Additional Information
- Where did you get the name?
- From a book named "White Fang".
- Can I use your code?
- Not this time. Please, do not decompile.
- What's next for your robot?
- Bullet Shadows
- Does it have any White Whales?
- ScalarBot crushes it.
- What other robot(s) is it based on?
- It is not based on any other robot except my standard code base. Thanks to Beaming and Skilgannon for helping me to getting into the competition and for the TUR flag(Skilgannon).
