AINeutralarXiv – CS AI · 10h ago6/10
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Adaptive Data Harvesting for Efficient Neural Network Learning with Universal Constraints
Researchers propose an adaptive data harvesting approach using reinforcement learning to dynamically select training samples for neural networks constrained by universal conditions. The method improves upon fixed heuristics for training Lyapunov Neural Networks and Physics-Informed Neural Networks, demonstrating faster convergence and better solution quality across test problems.