Tag
The paper proposes CAP (Candidate Acquisition Policy), a method that learns a feedback-conditioned query policy from sparse records of related black-box optimization tasks, achieving the best final-budget results on four synthetic families and two engineering benchmarks (BOPTEST, SU2).