Automating Turbulence Modeling by Multi-Agent Reinforcement Learning

1 code implementation • 18 May 2020 • Guido Novati, Hugues Lascombes de Laroussilhe, Petros Koumoutsakos

The modeling of turbulent flows is critical to scientific and engineering problems ranging from aircraft design to weather forecasting and climate prediction.

Multi-agent Reinforcement Learning reinforcement-learning +2