-
-
Notifications
You must be signed in to change notification settings - Fork 522
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[FEATURE] deep learning player movement prediction (for other players) #5986
Comments
Why? |
I would say it's stupid to slap deep learning on everything, but for this use-case we might actually be able to predict movement with a good amount of data, instead of just expecting the player to have linear movement, which it currently does here: LiquidBounce/src/main/kotlin/net/ccbluex/liquidbounce/utils/entity/SimulatedPlayer.kt Lines 952 to 977 in 7f9e07b
A noise map of the blocks around the player would be a good start, as well as a list of past movements. The only module I can think of where this would be most useful is Bow Aimbot, as well as Auto Trap. @superblaubeere27 is doing the work on those modules and can probably say better if it makes sense. Otherwise, I think it might be more of a gimmick, as it's honestly not that useful in combat. Maybe if we're very far away, a bit like a legit where we aim much further out to make someone walk into our crosshair might be doable, but otherwise it won't do much. |
Improved bow aimbot would be PEAK current one struggles a lot especially with speed effects |
Describe your feature request.
this could be very useful for features like bow aimbot because it will just predict the movement of the player more accurately when there is enough traning
Additional context
No response
The text was updated successfully, but these errors were encountered: