Truncated backpropagation through the final r iterations of a preconditioned PDHG solver recovers inverse-cost maps in mean-field games as accurately as full unrolling while using a fraction of the memory.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Truncated Differentiation Through Primal-Dual Solvers for Inverse Potential Mean-Field Games
Truncated backpropagation through the final r iterations of a preconditioned PDHG solver recovers inverse-cost maps in mean-field games as accurately as full unrolling while using a fraction of the memory.