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Nico Meyer
ORCID
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 9
Top Topics
Reinforcement Learning
Machine Learning
Policy Gradient
Monte Carlo
Top Venues
CoRR
QCE
ICML
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Publications
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Marco Wiedmann
,
Marc Hölle
,
Maniraman Periyasamy
,
Nico Meyer
,
Christian Ufrecht
,
Daniel D. Scherer
,
Axel Plinge
,
Christopher Mutschler
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-Based Gradients.
QCE
(2023)
Nico Meyer
,
Daniel D. Scherer
,
Axel Plinge
,
Christopher Mutschler
,
Michael J. Hartmann
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning.
CoRR
(2023)
Nico Meyer
,
Daniel D. Scherer
,
Axel Plinge
,
Christopher Mutschler
,
Michael J. Hartmann
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning.
QCE
(2023)
Nico Meyer
,
Daniel D. Scherer
,
Axel Plinge
,
Christopher Mutschler
,
Michael J. Hartmann
Quantum Policy Gradient Algorithm with Optimized Action Decoding.
ICML
(2023)
Marco Wiedmann
,
Marc Hölle
,
Maniraman Periyasamy
,
Nico Meyer
,
Christian Ufrecht
,
Daniel D. Scherer
,
Axel Plinge
,
Christopher Mutschler
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients.
CoRR
(2023)
Nico Meyer
,
Christian Ufrecht
,
Maniraman Periyasamy
,
Daniel D. Scherer
,
Axel Plinge
,
Christopher Mutschler
A Survey on Quantum Reinforcement Learning.
CoRR
(2022)
Maniraman Periyasamy
,
Nico Meyer
,
Christian Ufrecht
,
Daniel D. Scherer
,
Axel Plinge
,
Christopher Mutschler
Incremental Data-Uploading for Full-Quantum Classification.
CoRR
(2022)
Maniraman Periyasamy
,
Nico Meyer
,
Christian Ufrecht
,
Daniel D. Scherer
,
Axel Plinge
,
Christopher Mutschler
Incremental Data-Uploading for Full-Quantum Classification.
QCE
(2022)
Nico Meyer
,
Daniel D. Scherer
,
Axel Plinge
,
Christopher Mutschler
,
Michael J. Hartmann
Quantum Policy Gradient Algorithm with Optimized Action Decoding.
CoRR
(2022)