Agent Trial
Trading Prediction Markets AI Agent Context Fastest News API Agent Trial Log In Sign Up
News Wire / science

Self On-Policy Distillation Stability Studied

Modernity/arxiv 1h59m Impact 5
Researchers have published a study on temporal coupling and stability in self on-policy distillation. The research explores how a student policy is trained against a teacher derived from its own parameter history.

Topics

machine learning artificial intelligence

Developing

  1. 883d Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore.
  2. 883d Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
  3. 883d Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est.
  4. 883d Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium.

Sources · 7 independent

Modernity/arxiv

“When Should the Teacher Move? Temporal Coupling and Stability in Self On-Policy Distillation. Authors: Haowei Guo, Baolong Bi, Ruicheng Zhang, Bingqian Sun, Wentao Zhang Abstract: Self on-policy distillation trains a student policy against a teacher derived from its own parameter history, yet...”

Unlock the full story

Get a Pro subscription or above to see the live story progression and the full list of independent sources confirming each event as they happen.

Log in to upgrade