Oculus
Revision as of 14:02, 18 July 2018 by Dsekercioglu (talk | contribs) (Quick Fix of version since LiteRumble keeps every results)
- Oculus Sub-pages:
- Version History - Challenges
Oculus | |
Author(s) | Dsekercioglu |
Extends | AdvancedRobot |
Targeting | Neural Targeting (GF) |
Movement | Stochastic Neural Movement (WS-GF) |
Released | 21.11.2017 |
Current Rating | x |
Current Version | 1.5 |
Download |
Background Information
- Bot Name
- Oculus
- Author
- Dsekercioglu
- Extends
- AdvancedRobot
- What's special about it?
- It is one of the only bullet shielders like all my other bots.
- It uses a stochastic neural network view.
- Great, I want to try it. Where can I download it.
- https://www.dropbox.com/s/djbubltrfj3pzv5/dsekercioglu.neural.Oculus_1.5.jar?dl=1
- How competitive is it?
- We will see.
- Credits
- Credits should go to:
- Rozu: predictPosition from Apollon.
- Chase-san the intercept method which I use for PPMEA.
Strategy
- How does it move?
- True Surfing
- How does it fire?
- Trying to predict the probabilities of GFs with a Neural Network.
- How does it dodge bullets?
- It uses true surfing.
- How does the melee strategy differ from One-on-one strategy?
- It doesn't support melee
- How does it select a target to attack/avoid in melee?
- I doesn'T support melee.
- What does it save between rounds and matches?
- NN weights and hit rates.
Additional Information
- Where did you get the name?
- Eye in latin.
- Why did you make this bot?
- This is actually the third time I rewrite this robot. The reason is that I now have a better Neural Network framework.
- Can I use your code?
- Java files are in the jar file.
- What's next for your robot?
- Tune everything
- Does it have any White Whales?
- We will see.
- What other robot(s) is it based on?
- My standard robot base.