◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ute Schmid

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2
ORCID 0000-0002-1301-0326

identity via Semantic Scholar / OpenAlex

most citedGrounding Hierarchical Reinforcement Learning Models for Knowledge Transfer

1 citations · 1 across the 2 of their papers we have counts for

collaborators

1 paper

cs.LG2014★ 1 cited

Grounding Hierarchical Reinforcement Learning Models for Knowledge Transfer

Mark Wernsdorfer, Ute Schmid

Methods of deep machine learning enable to to reuse low-level representations efficiently for generating more abstract high-level representations. Originally, deep learning has bee…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.