Policy Gradients using Variational Quantum Circuits A Sequeira, LP Santos, LS Barbosa Quantum Mach. Intell. 5, 18 (2023). https://doi.org/10.1007/s42484-023-00101-8, 2022 | 23* | 2022 |
VQC-based reinforcement learning with data re-uploading: performance and trainability R Coelho, A Sequeira, L Paulo Santos Quantum Machine Intelligence 6 (2), 53, 2024 | 8 | 2024 |
Trainability issues in quantum policy gradients A Sequeira, LP Santos, LS Barbosa arXiv preprint arXiv:2406.09614, 2024 | 3 | 2024 |
On Quantum Natural Policy Gradients A Sequeira, LP Santos, LS Barbosa arXiv preprint arXiv:2401.08307, 2024 | 3 | 2024 |
Quantum tree-based planning A Sequeira, LP Santos, LS Barbosa IEEE Access 9, 125416-125427, 2021 | 2 | 2021 |
Generalised quantum tree search A Sequeira, LP Santos, LS Barbosa 2021 IEEE/ACM 2nd International Workshop on Quantum Software Engineering (Q …, 2021 | 1 | 2021 |
A hybrid classical-quantum approach to highly constrained Unit Commitment problems B Salgado, A Sequeira, LP Santos arXiv preprint arXiv:2412.11312, 2024 | | 2024 |
Trainability issues in quantum policy gradients with softmax activations A Sequeira, LP Santos, LS Barbosa 2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024 | | 2024 |
A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning H Gholipour, F Bozorgnia, K Hambarde, H Mohammadigheymasi, ... arXiv preprint arXiv:2408.05498, 2024 | | 2024 |
Empowering Credit Scoring Systems with Quantum-Enhanced Machine Learning J Mancilla, A Sequeira, T Tagliani, F Llaneza, C Beiza arXiv preprint arXiv:2404.00015, 2024 | | 2024 |
VQC-based reinforcement learning with data re-uploading: performance and trainability LP Santos, AM Sequeira | | 2024 |
Quantum-enhanced reinforcement learning AMR Sequeira | | 2021 |