Citations refer to the original publication, not to a Scieee localized version.
Yanes Luis, S., Basilico, N., Antonazzi, M., Gutiérrez Reina, D., & Toral, S. L. (2025). Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles. Elsevier. https://doi.org/10.1016/j.eswa.2025.126483
Yanes Luis, Samuel, et al. Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles. Elsevier, 2025. https://doi.org/10.1016/j.eswa.2025.126483.
Yanes Luis, Samuel, Nicola Basilico, Michele Antonazzi, Daniel Gutiérrez Reina, and S. L. Toral. Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles. Elsevier, 2025. https://doi.org/10.1016/j.eswa.2025.126483.
Yanes Luis, S. et al. (2025) Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles. Elsevier. Available at: https://doi.org/10.1016/j.eswa.2025.126483.
S. Yanes Luis, N. Basilico, M. Antonazzi, D. Gutiérrez Reina, and S. L. Toral, “Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles,” Elsevier, 2025, doi: 10.1016/j.eswa.2025.126483.
@misc{yanesluis2025variational,
author = {Yanes Luis, Samuel and Basilico, Nicola and Antonazzi, Michele and Gutiérrez Reina, Daniel and Toral, S. L.},
title = {Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles},
year = {2025},
publisher = {Elsevier},
doi = {10.1016/j.eswa.2025.126483},
url = {https://doi.org/10.1016/j.eswa.2025.126483}
}
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