Iros_2026

Two papers accepted to IROS 2026. One presents a decentralized generative framework for multi-agent coordination, where distilled communication enables effective decision-making under partial observability. The other develops a value-guided flow-matching approach for robot policy learning, enabling scalable integration of RL objectives into expressive controllers. Preprints and code to be released soon!