143 citations · 348 across the 12 of their papers we have counts for
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physics.flu-dyn2022★ 87 cited
Deep Reinforcement Learning for Turbulence Modeling in Large Eddy Simulations
Marius Kurz, Philipp Offenhäuser, Andrea Beck
Over the last years, supervised learning (SL) has established itself as the state-of-the-art for data-driven turbulence modeling. In the SL paradigm, models are trained based on a…
cs.LG2022★ 54 cited
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems
Marius Kurz, Philipp Offenhäuser, Dominic Viola +3
Reinforcement learning (RL) is highly suitable for devising control strategies in the context of dynamical systems. A prominent instance of such a dynamical system is the system of…