A review on deep reinforcement learning for fluid mechanics

Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

(2019) Jean Rabault et al.   JOURNAL OF FLUID MECHANICS

Superhuman AI for multiplayer poker

(2019) Noam Brown et al.   SCIENCE

Optimization Methods for Large-Scale Machine Learning

(2018) Léon Bottou et al.   SIAM REVIEW

Fluid directed rigid body control using deep reinforcement learning

(2018) Pingchuan Ma et al.   ACM TRANSACTIONS ON GRAPHICS

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Flow Navigation by Smart Microswimmers via Reinforcement Learning

(2017) Simona Colabrese et al.   PHYSICAL REVIEW LETTERS

Learning to school in the presence of hydrodynamic interactions

(2016) M. Gazzola et al.   JOURNAL OF FLUID MECHANICS

A statistical learning strategy for closed-loop control of fluid flows

(2016) Florimond Guéniat et al.   THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS

Autoencoder for words

(2014) Cheng-Yuan Liou et al.   NEUROCOMPUTING

Sensitivity of aerodynamic forces in laminar and turbulent flow past a square cylinder

(2014) Philippe Meliga et al.   PHYSICS OF FLUIDS