Preprint
Aug 2026
PANDA: A Matrix-Free Differentiable NMPC Solver via Proximal Averaged Quasi-Newton with Adaptive Linesearch Algorithm
PANDA is proposed, a matrix-free solver for differentiable NMPC that achieves much faster forward and backward computation and lower memory overhead than representative differentiable optimization solvers, while maintaining effective imitation learning performance.
Yuankun Chen, Zifei Nie, Xun Gong et al.
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