Neural Control uses adjoint differentiation of equilibrium conditions to compute trajectory-dependent proxy gradients for history-dependent implicit models in deformable object manipulation.
arXiv preprint arXiv:2405.17784 , year=
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Neural Control: Adjoint Learning Through Equilibrium Constraints
Neural Control uses adjoint differentiation of equilibrium conditions to compute trajectory-dependent proxy gradients for history-dependent implicit models in deformable object manipulation.