Difference between revisions of "Raven"
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GitWikiBot (talk | contribs) (Restored edits authored by Dsekercioglu dated 2020-03-09T13:26:52+00:00) |
Dsekercioglu (talk | contribs) (Give more info about the current state of Raven and remove the italics that make my eyes hurt) |
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; Bot Name | ; Bot Name | ||
− | : | + | : Raven |
; Author | ; Author | ||
− | : | + | : [[Dsekercioglu]] |
; Extends | ; Extends | ||
− | : | + | : [[AdvancedRobot]] |
; What's special about it? | ; What's special about it? | ||
− | : | + | : Raven dynamically weights its movement classifiers using gradient-based optimization. |
; Great, I want to try it. Where can I download it? | ; Great, I want to try it. Where can I download it? | ||
− | : | + | : https://www.dropbox.com/s/ionjtk6rjk6pnyb/dsekercioglu.mega.Raven_2.9.jar?dl=1 |
− | |||
; How competitive is it? | ; How competitive is it? | ||
− | : ' | + | : It's best is top 30 |
;Credits | ;Credits | ||
− | : | + | :[[Skilgannon]] for the bugless, fast Kd-tree. |
− | : | + | :[[Cb]] for non-iterative wall smoothing. |
− | : | + | :[[Rozu]] for the precise prediction code. |
− | : | + | :[[Chase-san]] for the intercept method I used in my [[PPMEA]] calculations. |
− | : | + | :[[AW]] for giving me the idea of integrating the danger function in order to get the danger value for a given bot width. |
== Strategy == | == Strategy == | ||
; How does it [[Movement|move]]? | ; How does it [[Movement|move]]? | ||
− | : | + | : True Surfing. |
; How does it fire? | ; How does it fire? | ||
− | : | + | : It uses [[GuessFactor]] with KNN. |
; How does it [[Dodging Bullets|dodge bullets]]? | ; How does it [[Dodging Bullets|dodge bullets]]? | ||
− | : | + | : Tries to minimize the number of guess factors it gets hit by based on their weights and damage. |
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− | |||
− | |||
− | |||
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; What does it save between rounds and matches? | ; What does it save between rounds and matches? | ||
− | : | + | : Between rounds it saves the kd-trees. Between matches it doesn't save anything. |
== Additional Information == | == Additional Information == | ||
; Where did you get the name? | ; Where did you get the name? | ||
− | : | + | : It just popped into my mind and I thought it would be a proper name for a bot with machine learning. |
; Can I use your code? | ; Can I use your code? | ||
− | : | + | : Yes, I tried to make the code as clean and understandable as possible. |
; What's next for your robot? | ; What's next for your robot? | ||
− | : | + | : Better Bullet Shadow Calculations. |
− | : | + | : Tuning the guns since they haven't been tuned since the first version. |
− | : | + | : Gun Heat Waves. |
− | : | + | : Maybe a pre-trained movement or gun to use in the first ticks of the battle. |
− | + | : Add a flattener that actually improves its scores against adaptive targeting. | |
− | : | ||
; Does it have any [[White Whale]]s? | ; Does it have any [[White Whale]]s? | ||
− | : | + | : Drifter seems to have the highest KNNPBI. |
; What other robot(s) is it based on? | ; What other robot(s) is it based on? | ||
− | : | + | : It's kind of based on WhiteFang, I have tried to copy the design but make it as precise as it can be. |
[[Category:Templates|Bots]] | [[Category:Templates|Bots]] |
Revision as of 00:41, 18 July 2020
Background Information
- Bot Name
- Raven
- Author
- Dsekercioglu
- Extends
- AdvancedRobot
- What's special about it?
- Raven dynamically weights its movement classifiers using gradient-based optimization.
- Great, I want to try it. Where can I download it?
- https://www.dropbox.com/s/ionjtk6rjk6pnyb/dsekercioglu.mega.Raven_2.9.jar?dl=1
- How competitive is it?
- It's best is top 30
- Credits
- Skilgannon for the bugless, fast Kd-tree.
- Cb for non-iterative wall smoothing.
- Rozu for the precise prediction code.
- Chase-san for the intercept method I used in my PPMEA calculations.
- AW for giving me the idea of integrating the danger function in order to get the danger value for a given bot width.
Strategy
- How does it move?
- True Surfing.
- How does it fire?
- It uses GuessFactor with KNN.
- How does it dodge bullets?
- Tries to minimize the number of guess factors it gets hit by based on their weights and damage.
- What does it save between rounds and matches?
- Between rounds it saves the kd-trees. Between matches it doesn't save anything.
Additional Information
- Where did you get the name?
- It just popped into my mind and I thought it would be a proper name for a bot with machine learning.
- Can I use your code?
- Yes, I tried to make the code as clean and understandable as possible.
- What's next for your robot?
- Better Bullet Shadow Calculations.
- Tuning the guns since they haven't been tuned since the first version.
- Gun Heat Waves.
- Maybe a pre-trained movement or gun to use in the first ticks of the battle.
- Add a flattener that actually improves its scores against adaptive targeting.
- Does it have any White Whales?
- Drifter seems to have the highest KNNPBI.
- What other robot(s) is it based on?
- It's kind of based on WhiteFang, I have tried to copy the design but make it as precise as it can be.