Quantum Policy Gradient Algorithm with Optimized Action Decoding - researchr publication related

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Nico Meyer, Daniel D. Scherer, Axel Plinge, Christopher Mutschler, Michael J. Hartmann. Quantum Policy Gradient Algorithm with Optimized Action Decoding. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 24592-24613, PMLR, 2023. [doi]

The following publications are possibly variants of this publication:

Stochastic gradient descent for hybrid quantum-classical optimizationRyan Sweke, Frederik Wilde, Johannes Jakob Meyer, Maria Schuld, Paul K. Faehrmann, Barthélémy Meynard-Piganeau, Jens Eisert. quantum, 4:314, 2020. [doi]

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