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Global Convergence of Deep Galerkin and PINNs Methods for Solving Partial Differential Equations
In this paper, we prove global convergence for one of the commonly-used deep learning algorithms for solving PDEs, the Deep Galerkin Method (DGM).
Neural Q-learning for solving PDEs
We develop a new numerical method for solving elliptic-type PDEs by adapting the Q-learning algorithm in reinforcement learning.
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