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researcher

F. Kirchner

24 papers hereh-index 375.2k citations339 works total

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

author position
  • middle author6
  • last author18

Across the 24 of 24 papers where every author was matched, so the position is known.

fields
  • cs.RO17
  • cs.CV5
  • cs.HC1
  • cs.LG1
same name
  • F. Kirchner — 12 papers, h 7
  • F. Kirchner — 2 papers, h 11
  • F. Kirchner — 1 paper, h 1
  • F. Kirchner — 1 paper
  • F. Kirchner — 1 paper, h 5
  • F. Kirchner — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102023
most citedQuantum Deep Reinforcement Learning for Robot Navigation Tasks

32 citations · 124 across the 21 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2020★ 4 cited

Are Gradient-based Saliency Maps Useful in Deep Reinforcement Learning?

Matthias Rosynski, Frank Kirchner, Matias Valdenegro-Toro

Deep Reinforcement Learning (DRL) connects the classic Reinforcement Learning algorithms with Deep Neural Networks. A problem in DRL is that CNNs are black-boxes and it is hard to…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.