Listar por Materia Reinforcement learning
Mostrando resultados 1 a 11 de 11
| Fecha de publicación | Título | Autor(es) |
| 2023 | Aproximación de equilibrios de Nash en juegos de información imperfecta y suma positiva mediante métodos de Monte Carlo y aprendizaje automático | Filevich, Juan Pablo |
| 2024 | Combined learning and optimal power flow for storage dispatch in grids with renewables. | Porteiro, Rodrigo; Paganini, Fernando; Bazerque, Juan Andrés |
| 2025 | Disuasión de aves mediante vehículos aéreos autónomos | Rodriguez Frangias, Gabriel |
| 2022 | GROWS - Improving decentralized resource allocation in wireless networks through graph neural networks | Randall, Martín; Belzarena, Pablo; Larroca, Federico; Casas, Pedro |
| 2022 | Learning the optimal joint operation of the energy systems of Uruguay, Brazil, Paraguay and Argentina | Chaer, Ruben; Ramírez Paulino, Ignacio; Camacho, Vanina; Caporale, Ximena; Casaravilla, Gonzalo |
| 2023 | Machine learning applied to the operation of fully renewable energy systems | Chaer, Ruben; Ramírez Paulino, Ignacio; Casaravilla, Gonzalo |
| 2000 | Multi agent collaboration using distributed value functions | Ferreira, Enrique; Khosla, P |
| 2021 | Multi-task reinforcement learning in reproducing Kernel Hilbert spaces via cross-learning | Cerviño, Juan; Bazerque, Juan Andrés; Calvo-Fullana, Miguel; Ribeiro, Alejandro |
| 2023 | Reinforcement learning based coexistence in mixed 802.11ax and legacy WLANs. | Frommel Araújo, Fabián; Capdehourat, Germán; Larroca, Federico |
| 2020 | uQuad IV : Diseño y construcción de un UAV autónomo utilizando algoritmos de redes neuronales para el control de actitud. | Cáceres, Nicolás; Moreira, Rodrigo; Rodríguez, Araceli |
| 2025 | User association in wireless networks with distributed GNN-based reinforcement learning | Randall, Martín; Paternain, Santiago; Casas, Pedro; Larroca, Federico; Belzarena, Pablo |
