most citedDeep Reinforcement Learning for Adaptive Mesh Refinement

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CE2022★ 2 cited

Deep Reinforcement Learning for Adaptive Mesh Refinement

Corbin Foucart, Aaron Charous, Pierre F. J. Lermusiaux

Finite element discretizations of problems in computational physics often rely on adaptive mesh refinement (AMR) to preferentially resolve regions containing important features dur…