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Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement
  Learning

Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning

26 April 2023
Nico Meyer
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
M. Hartmann
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Papers citing "Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning"

2 / 2 papers shown
Title
An Empirical Comparison of Optimizers for Quantum Machine Learning with
  SPSA-based Gradients
An Empirical Comparison of Optimizers for Quantum Machine Learning with SPSA-based Gradients
Marco Wiedmann
Marc Hölle
Maniraman Periyasamy
Nico Meyer
Christian Ufrecht
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
73
18
0
27 Apr 2023
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
A. Sone
L. Cincio
Patrick J. Coles
124
654
0
28 Jul 2020
1