Accession Number:

AD1040878

Title:

Analysis-Driven Design of Representations For Sensing-Action Systems

Descriptive Note:

Technical Report,26 Sep 2011,30 Jun 2017

Corporate Author:

University of California, Los Angeles Los Angeles United States

Personal Author(s):

Report Date:

2017-10-01

Pagination or Media Count:

9.0

Abstract:

We have developed what is, to the best of our knowledge, the first complete theory of representation for decision and control task, which has shown not only to encompass and explain all known phenomenology in deep neural network-based representation learning, but also to predict phenomena that were thus far unexplained.

Subject Categories:

  • Information Science
  • Computer Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE