black-box optimization 1budgeted search 1combinatorial optimization 1policy evolution 1synthetic objectives 1
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cs.AI2026
SCOPE: Synthetic Conditional Objectives for Policy Evolution in Black-Box Combinatorial Optimization
Nguyen Viet Tuan Kiet, Nguyen Huu Duc, Le Cong Bang +2
The paper proposes SCOPE, a framework that learns synthetic conditional objectives from search history to evolve diverse search policies for black-box combinatorial optimization, i…
cs.AI2026
RELIC: Revealed Principles for Learning Interpretable Composable Skills in Multi-Agent Planning
Nguyen Viet Tuan Kiet, Bui Dinh Pham, Duong Quoc Chinh +3
Multi-agent planning becomes substantially harder when agents must improve specialized decision-making skills while keeping their executable implementations private. This setting a…