Difference between revisions of "Raven"

Revision as of 13:25, 28 July 2020

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?: https://www.dropbox.com/s/v2w0tewmd0g1cxo/dsekercioglu.mega.Raven_3.21a.jar?dl=1

Credits: 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?: A form of Go To Surfing.; It falls back to True Surfing when there is no bullets mid-air.

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.

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?: A proper versioning system so I don't keep accidentally releasing experimental versions.; Faster code so it doesn't run slow and doesn't skip turns.; 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 doesn't seem to have any extreme white whales currently.

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.

@@ Line 15: / Line 15: @@
 ; Great, I want to try it. Where can I download it?
-: https://www.dropbox.com/s/335p9lcdwgpagry/dsekercioglu.mega.Raven_3.19b.jar?dl=1
+: https://www.dropbox.com/s/v2w0tewmd0g1cxo/dsekercioglu.mega.Raven_3.21a.jar?dl=1
 ; How competitive is it?
-: Its best is 15.
+: Its best is 10th place.
 ; Credits