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most citedOptimism as Risk-Seeking in Multi-Agent Reinforcement Learning

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cs.LG2026

AdamFLIP: Adaptive Momentum Feedback Linearization Optimization for Hard Constrained PINN Training

Binghang Lu, Runyu Zhang, Changhong Mou +2

Physics-informed neural networks (PINNs) provide a flexible framework for solving forward and inverse problems governed by partial differential equations (PDEs), but standard PINN…