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researcher

Daniel Seidl

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.soft1
  • quant-ph1
  • stat.CO1
ORCID 0000-0002-4579-2676

identity via Semantic Scholar / OpenAlex

most citedPolyconvex neural network models of thermoelasticity

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing quant-phShow all

1 paper · 1 filter

quant-ph2024

Optimizing Variational Quantum Circuits Using Metaheuristic Strategies in Reinforcement Learning

Michael Kölle, Daniel Seidl, Maximilian Zorn +3

Quantum Reinforcement Learning (QRL) offers potential advantages over classical Reinforcement Learning, such as compact state space representation and faster convergence in certain…

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