A neural network dynamics emulator trained on data yields stability eigenmodes and resolvent modes via automatic differentiation of its Jacobian, enabling equation-free analysis of nonlinear systems.
Physics-informed dynamic mode decomposition
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Koopman-assisted RL reformulates max-entropy algorithms using controlled Koopman tensors and reports SOTA performance versus neural SAC on Lorenz, fluid flow, and other systems.
citing papers explorer
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A neural operator framework for data-driven discovery of stability and receptivity in physical systems
A neural network dynamics emulator trained on data yields stability eigenmodes and resolvent modes via automatic differentiation of its Jacobian, enabling equation-free analysis of nonlinear systems.
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Koopman-Assisted Reinforcement Learning
Koopman-assisted RL reformulates max-entropy algorithms using controlled Koopman tensors and reports SOTA performance versus neural SAC on Lorenz, fluid flow, and other systems.