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Revision as of 20:56, 25 July 2020 by Dsekercioglu (talk | contribs) (Raven page update)
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Background Information

Bot Name
What's special about it?
Raven dynamically weights its movement classifiers using gradient-based optimization.
Raven uses a form of Go to surfing where it procedurally generates paths without aiming for any point.
Great, I want to try it. Where can I download it?
How competitive is it?
Its best is 17.
Rednaxela, Skilgannon, Nat, Starrynyte and the other contributors I am unaware of for the FastTrig class.
Skilgannon for the bugless, fast Kd-tree.
Cb for the 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.


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?
Raven's Anti-Surfer targeting is very weak. Combined with lack of adaptivity and good flattening in movement, other wave surfers become huge problem bots.
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.