View source for User talk:Xor

From Robowiki
Jump to navigation Jump to search

Contents

Thread titleRepliesLast modified
Manifold Learning217:20, 29 July 2021
Good to see robowiki is back!014:04, 12 June 2018

Manifold Learning

Guess Factor based methods generalize well, based on priori knowledge about robots moving in circles & max escape angle. Better methods such as precise max escape angle helps greatly. However given enough samples, I wonder whether some deep enough model can learn the shape of escape envelop, as well as precise max escape angle, etc. And generalize even better.

Xor (talk)13:25, 27 July 2021

I could imagine developing some sort of "LearnedFactor" function that takes as input the firing angle along with the enemy's position, velocity, maybe more complex features like precise MAE, etc. As long as the function is invertible with respect to the firing angle you could then do KNN with those instead of GuessFactors.

--Kev (talk)02:27, 28 July 2021

You do not have permission to edit this page, for the following reasons:

  • The action you have requested is limited to users in the group: Users.
  • You must confirm your email address before editing pages. Please set and validate your email address through your user preferences.

You can view and copy the source of this page.

Return to Thread:User talk:Xor/Manifold Learning/reply (2).

 
 

Good to see robowiki is back!

Thanks Skilgannon and Voidious for maintaining the awesome robowiki and literumble!

I almost couldn’t wait to put my new bots into rumble ;)

Xor (talk)14:03, 12 June 2018