SPL-LNS replaces the greedy proposal step in neural Large Neighborhood Search with sampling over locally-informed proposals, trained by hindsight relabeling on self-generated data, and reports large gains over prior neural LNS solvers on integer linear programs.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SPL-LNS: Sampling-Enhanced Large Neighborhood Search for Solving Integer Linear Programs
SPL-LNS replaces the greedy proposal step in neural Large Neighborhood Search with sampling over locally-informed proposals, trained by hindsight relabeling on self-generated data, and reports large gains over prior neural LNS solvers on integer linear programs.