Difference between pages "Wraith/Version History" and "Raven"
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GitWikiBot (talk | contribs) (Restored edits authored by Wolfman dated 2019-12-07T21:07:56+00:00) |
Dsekercioglu (talk | contribs) (Raven page update) |
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| − | + | == Background Information == | |
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| + | ; 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 == | |
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| − | + | ; 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. | |
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| − | + | ; 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]] | |
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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.
