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Eva Andrés

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Journal Articles

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2023
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Eva Andrés, Manuel P. Cuéllar, Gabriel Navarro:
Efficient Dimensionality Reduction Strategies for Quantum Reinforcement Learning. IEEE Access 11: 104534-104553 (2023)

Informal and Other Publications

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2023
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Raj G. Patel, Tomas Dominguez, Mohammad Dib, Samuel Palmer, Andrea Cadarso, Fernando De Lope Contreras, Abdelkader Ratnani, Francisco Gomez Casanova, Senaida Hernández-Santana, Álvaro Díaz Fernández, Eva Andrés, Jorge Luis-Hita, Escolástico Sánchez-Martínez, Samuel Mugel, Roman Orus:
Application of Tensor Neural Networks to Pricing Bermudan Swaptions. CoRR abs/2304.09750 (2023)

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