Rabault, J., Kuchta, M., Jensen, A., Réglade, U., & Cerardi, N. (2019). Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control. Journal of fluid mechanics, 865, 281-302. https://doi.org/10.1017/jfm.2019.62
Chicago Style (17th ed.) CitationRabault, Jean, Miroslav Kuchta, Atle Jensen, Ulysse Réglade, and Nicolas Cerardi. "Artificial Neural Networks Trained Through Deep Reinforcement Learning Discover Control Strategies for Active Flow Control." Journal of Fluid Mechanics 865 (2019): 281-302. https://doi.org/10.1017/jfm.2019.62.
MLA (9th ed.) CitationRabault, Jean, et al. "Artificial Neural Networks Trained Through Deep Reinforcement Learning Discover Control Strategies for Active Flow Control." Journal of Fluid Mechanics, vol. 865, 2019, pp. 281-302, https://doi.org/10.1017/jfm.2019.62.