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20182021
most citedIlluminating Generalization in Deep Reinforcement Learning through Procedural Level Generation

114 citations · 165 across the 3 of their papers we have counts for

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cs.LG2021★ 13 cited

Physics-informed attention-based neural network for solving non-linear partial differential equations

Ruben Rodriguez-Torrado, Pablo Ruiz, Luis Cueto-Felgueroso +4

Physics-Informed Neural Networks (PINNs) have enabled significant improvements in modelling physical processes described by partial differential equations (PDEs). PINNs are based o…