RL-PINNs: Reinforcement Learning-Driven Adaptive Sampling for Efficient Training of PINNs

Zhenao Song

Physics-Informed Neural Networks (PINNs) have emerged as a powerful framework for solving partial differential equations (PDEs). However, their performance heavily relies on the st…