| On the use of quantum reinforcement learning in energy-efficiency scenarios E Andrés, MP Cuéllar, G Navarro Energies 15 (16), 6034, 2022 | 11 | 2022 |
| Efficient Dimensionality Reduction Strategies for Quantum Reinforcement Learning E Andrés, MP Cuéllar, G Navarro IEEE Access 11, 104534-104553, 2023 | 2 | 2023 |
| Multiobjective variational quantum optimization for constrained problems: an application to Cash Management DP Pablo Díez-Valle, Jorge Luis-Hita, Senaida Hernández-Santana, Fernando ... arxiv, 2023 | 2* | 2023 |
| Application of Tensor Neural Networks to Pricing Bermudan Swaptions RG Patel, T Dominguez, M Dib, S Palmer, A Cadarso, FDL Contreras, ... arXiv preprint arXiv:2304.09750, 2023 | 1 | 2023 |
| Brain-Inspired Agents for Quantum Reinforcement Learning E Andrés, MP Cuéllar, G Navarro Mathematics 12 (8), 1230, 2024 | | 2024 |
| Multiobjective variational quantum optimization for constrained problems: an application to Cash Management P Díez-Valle, J Luis-Hita, S Hernández-Santana, F Martínez-García, ... arXiv preprint arXiv:2302.04196, 2023 | | 2023 |
| A MULTIOBJECTIVE APPROACH TO IMPROVE VARIATIONAL QUANTUM ALGORITHMS IN CONSTRAINED PROBLEMS P Díez-Valle, J Luis-Hita, S Hernández-Santana, F Martínez-García, ... | | |
| Multiobjective variational quantum algorithms to solve constrained optimization problems P Díez-Valle, J Luis-Hita, S Hernández-Santana, F Martínez-García, ... | | |
Gabriel NavarroAssociated Professor of Computer Science, University of GranadaVerified email at ugr.es
