most citedDeep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems

54 citations · 54 across the 1 of their papers we have counts for

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1 paper

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…