Funder
Agence Nationale de la Recherche
Publisher
Springer Science and Business Media LLC
Subject
Surfaces and Interfaces,General Materials Science,General Chemistry,Biophysics,Biotechnology
Reference46 articles.
1. R. Agarwal, M. Schwarzer, P.S. Castro, A.C. Courville, M. Bellemare, Deep reinforcement learning at the edge of the statistical precipice. Adv. Neural. Inf. Process. Syst. 34, 29304–29320 (2021)
2. Y. Bengio, J. Louradour, R. Collobert, J. Weston, Curriculum learning, in Proc. International Conference on Machine Learning, Montreal, Quebec, June 14–18 (2009)
3. G. Boffetta, M. Cencini, M. Falcioni, A. Vulpiani, Predictability: a way to characterize complexity. Phys. Rep. 356(6), 367–474 (2002)
4. F. Borra, A. Vulpiani, M. Cencini, Effective models and predictability of chaotic multiscale systems via machine learning. Phys. Rev. E 102(5), 052203 (2020)
5. S.L. Brunton, B.R. Noack, P. Koumoutsakos, Machine learning for fluid mechanics. Annu. Rev. Fluid Mech. 52, 477–508 (2020)
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