Difference between revisions of "Raven"
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Dsekercioglu (talk | contribs) (Give more info about the current state of Raven and remove the italics that make my eyes hurt) |
Dsekercioglu (talk | contribs) (Raven version and credits update) |
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| Line 14: | Line 14: | ||
; Great, I want to try it. Where can I download it? | ; Great, I want to try it. Where can I download it? | ||
| − | : https://www.dropbox.com/s/ | + | : https://www.dropbox.com/s/t8noua0vtmmvk2p/dsekercioglu.mega.Raven_2.14fast.jar?dl=1 |
; How competitive is it? | ; How competitive is it? | ||
| − | : | + | : Its best is top 30. |
| − | ;Credits | + | ; Credits |
| − | :[[Skilgannon]] for the bugless, fast Kd-tree. | + | : [[Rednaxela]], [[Skilgannon]], [[Nat]], [[Starrynyte]] and the other contributors I am unaware of for the FastTrig class. |
| − | :[[Cb]] for non-iterative wall smoothing. | + | : [[Skilgannon]] for the bugless, fast Kd-tree. |
| − | :[[Rozu]] for the precise prediction code. | + | : [[Cb]] for the non-iterative wall smoothing. |
| − | :[[Chase-san]] for the intercept method I used in my [[PPMEA]] calculations. | + | : [[Rozu]] for the precise prediction code. |
| − | :[[AW]] for giving me the idea of integrating the danger function in order to get the danger value for a given bot width. | + | : [[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 == | == Strategy == | ||
Revision as of 01:16, 20 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.
- Great, I want to try it. Where can I download it?
- https://www.dropbox.com/s/t8noua0vtmmvk2p/dsekercioglu.mega.Raven_2.14fast.jar?dl=1
- How competitive is it?
- Its best is top 30.
- 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?
- 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?
- 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.
