TRM-PL uses a 2.3M-parameter weight-shared recursive architecture to reduce median position errors to 0.027 km on single-revolution LEO and 0.31 km on multi-revolution LEO transfers via position-supervised refinement.
Izzo, Revisiting Lambert’s problem, Celestial Mechanics and Dynamical Astronomy 121 (1) (2015) 1–15
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Tiny Recursive Models for Solving the J2-Perturbed Lambert Problem
TRM-PL uses a 2.3M-parameter weight-shared recursive architecture to reduce median position errors to 0.027 km on single-revolution LEO and 0.31 km on multi-revolution LEO transfers via position-supervised refinement.
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