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Valeria Javalera Rincon
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How can diverse national food and land-use priorities be reconciled with global sustainability targets? Lessons from the FABLE initiative
A Mosnier, G Schmidt-Traub, M Obersteiner, S Jones, V Javalera-Rincon, ...
Sustainability Science 18 (1), 335-345, 2023
172023
Negotiation and learning in distributed MPC of large scale systems
V Javalera, B Morcego, V Puig
Proceedings of the 2010 American Control Conference, 3168-3173, 2010
142010
Distributed MPC for large scale systems using agent-based reinforcement learning
V Javalera, B Morcego, V Puig
IFAC Proceedings Volumes 43 (8), 597-602, 2010
102010
A decentralized approach to model national and global food and land use systems
A Mosnier, V Javalera-Rincon, SK Jones, R Andrew, Z Bai, J Baker, ...
Environmental Research Letters 18 (4), 045001, 2023
62023
Multi-target scenario discovery to plan for sustainable food and land systems in Australia
J Navarro Garcia, R Marcos-Martinez, A Mosnier, G Schmidt-Traub, ...
Sustainability Science 18 (1), 371-388, 2023
52023
Artificial intelligence and machine learning for systems analysis of the 21st century
E Rovenskaya, K Aghababaei Samani, A Baklanov, T Ermolieva, ...
WP-19-010, 2019
32019
Distributed MPC using reinforcement learning based negotiation: Application to large scale systems
B Morcego, V Javalera, V Puig, R Vito
Distributed Model Predictive Control Made Easy, 517-533, 2014
32014
Pathways to sustainable land-use and food systems: 2019 Report of the FABLE Consortium
FAJ DeClerck, S Jones, FABLE Consortium
International Institute for Applied Systems Analysis (IIASA) and the …, 2019
22019
A multi-agent MPC architecture for distributed large scale systems
V Javalera Rincón, B Morcego Seix, V Puig Cayuela
2nd International Conference on Agents and Artificial Intelligence, 544-551, 2010
2*2010
A multi-agent MPC architecture for distributed large scale systems
V Javalera, B Morcego, V Puig
Institute for Systems and Technologies of Information, Control and Communication, 2010
22010
Reinforcement learning approach for cooperative control of multi-agent systems
V Javalera Rincón, VP Cayuela, BM Seix, F Orduña-Cabrera
ICAART 2, 80-91, 2019
12019
Distributed large scale systems: a multi-agent RL-MPC architecture
V Javalera
Universidad Politécnica de Cataluña, 2016
12016
AplicaciÓn de la metodologÍa rt-message para el diseÑo de un sistema multiagente en tiempo real para el control de clima, riego y nutriciÓn de cultivos en invernaderos
VJ Rincon
Instituto tecnológico de hermosillo, 2005
12005
Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information
F Orduna-Cabrera, M Sandoval-Gastelum, I McCallum, L See, S Fritz, ...
Geographies 3 (3), 563-573, 2023
2023
Crop-Type Recognition in Street-level Images with Convolutional Neural Networks
F Orduna-cabrera, M Sandoval-Gastelum, I MCCALLUM, SEE Linda, ...
Preprints, 2023
2023
Scenathon 2019
V Javalera Rincón, A Mosnier, M Obersteiner, F Orduña-Cabrera
Zenodo, 2023
2023
National food and land mitigation pathways for net zero
FP Brief
2022
Pathways for food and land use systems to contribute to global biodiversity targets
FP Brief
2022
Smart Linker for harmonizing trade assumptions between countries' sustainable pathways on the FABLE's Scenathon
V Javalera Rincón, F Orduña-Cabrera, M Obersteiner, A Rios
IIASA, Laxenburg, Austria, 2022
2022
Environmental and agricultural impacts of dietary shifts at global and national scales
FP Brief
2021
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Articles 1–20