Difference between revisions of "Raven"
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Dsekercioglu (talk | contribs) (Update the page and robot link) |
Dsekercioglu (talk | contribs) (Raven page update) |
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; What's special about it? | ; What's special about it? | ||
: Raven dynamically weights its movement classifiers using gradient-based optimization. | : 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? | ; Great, I want to try it. Where can I download it? | ||
| − | : https://www.dropbox.com/s/ | + | : https://www.dropbox.com/s/9cy9boolgr9xkw7/dsekercioglu.mega.Raven_3.17.jar?dl=1 |
; How competitive is it? | ; How competitive is it? | ||
| Line 56: | Line 57: | ||
; Does it have any [[White Whale]]s? | ; Does it have any [[White Whale]]s? | ||
| − | : Raven's Anti-Surfer targeting is very weak. Combined with lack of adaptivity and flattening in movement, other wave surfers become huge problem bots. | + | : 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? | ; What other robot(s) is it based on? | ||
Revision as of 20:56, 25 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/9cy9boolgr9xkw7/dsekercioglu.mega.Raven_3.17.jar?dl=1
- How competitive is it?
- Its best is 17.
- 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?
- 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.
