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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…
cs.AI2026
Back to the Beginning of Heuristic Design: Bridging Code and Knowledge with LLMs
Nguyen Viet Tuan Kiet, Bui Dinh Pham, Dao Van Tung +2
Large language models (LLMs) have recently advanced automatic heuristic design (AHD) for combinatorial optimization (CO), where candidate heuristics are iteratively proposed, evalu…
cs.AI2025
MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework
Nguyen Viet Tuan Kiet, Dao Van Tung, Tran Cong Dao +1
Designing effective algorithmic components remains a fundamental obstacle in tackling NP-hard combinatorial optimization problems (COPs), where solvers often rely on carefully hand…