Variational model-based Deep Reinforcement Learning for Non-Homogeneous Patrolling aquatic environments with multiple unmanned surface vehicles
© 2025 The Authors. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by- nc-nd/4.0/ ).
| Autores: | , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/174392 |
| Acesso em linha: | https://hdl.handle.net/11441/174392 https://doi.org/10.1016/j.eswa.2025.126483 |
| Access Level: | acceso abierto |
| Palavra-chave: | Deep Reinforcement Learning Environmental patrolling Multi-agent path planning Model-based decision making |
| Resumo: | © 2025 The Authors. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by- nc-nd/4.0/ ). |
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