|
|
Line 1: |
Line 1: |
− | == 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 [[Movement|move]]?
| |
− | : True Surfing.
| |
− |
| |
− | ; How does it fire?
| |
− | : It uses [[GuessFactor]] with KNN.
| |
− |
| |
− | ; 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.
| |
− |
| |
− | ; 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 Whale]]s?
| |
− | : 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.
| |
− |
| |
− | [[Category:Templates|Bots]]
| |