What is it about?
This study propose an open-source python platform, DRLinFluids, for applications of Deep Reinforcement Learning (DRL) in fluid mechanics, which can significantly reduce the application effort of DRL in fluid mechanics. This platform is expected to greatly accelerate academic and industrial applications of DRL in the field of fluid mechanics, bluff body aerodyanmics, wind engineering, and ocean engineering.
Photo by Solen Feyissa on Unsplash
Read the Original
This page is a summary of: DRLinFluids: An open-source Python platform of coupling deep reinforcement learning and OpenFOAM, Physics of Fluids, August 2022, American Institute of Physics, DOI: 10.1063/5.0103113.
You can read the full text:
The following have contributed to this page