Systematic Hyperparameter Tuning for Neural Network-Based PDE Solvers
2025-01-31
When working with deep learning methods for partial differential equations (PDEs) like the Hamilton-Jacobi-Bellman (HJB) equation, effective hyperparameter tuning proves critical for success. Based on experience with DeepBSDE and Deep Splitting methods, here’s my battle-tested key principles:
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