Imitation Learning for Combinatorial Optimisation under Uncertainty
arXiv:2601.05383v4 Announce Type: replace
Abstract: Imitation learning (IL) provides a data-driven framework for approximating policies for large-scale combinatorial optimisation problems formulated as sequential decision problems (SDPs), where exact …