Difference between pages "GitWikiBot TestPage" and "Raven"
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− | + | == Background Information == | |
+ | |||
+ | ; Bot Name | ||
+ | : Raven | ||
+ | |||
+ | ; Author | ||
+ | : [[Dsekercioglu]] | ||
+ | |||
+ | ; Extends | ||
+ | : [[AdvancedRobot]] | ||
+ | |||
+ | ; 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/335p9lcdwgpagry/dsekercioglu.mega.Raven_3.19b.jar?dl=1 | ||
+ | |||
+ | ; How competitive is it? | ||
+ | : Its best is 15. | ||
+ | |||
+ | ; 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. | ||
+ | == Strategy == | ||
+ | |||
+ | ; How does it [[Movement|move]]? | ||
+ | : A form of Go To Surfing. | ||
+ | : It falls back to True Surfing when there is no bullets mid-air. | ||
+ | |||
+ | ; 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? | ||
+ | : 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 Whale]]s? | ||
+ | : 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. | ||
+ | |||
+ | [[Category:Templates|Bots]] |
Revision as of 15:26, 27 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.
- 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/335p9lcdwgpagry/dsekercioglu.mega.Raven_3.19b.jar?dl=1
- How competitive is it?
- Its best is 15.
- 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.
Strategy
- 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 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?
- 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.