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Conference Open access Aug 2026

Local String Stability-Driven Reinforcement Learning for Adaptive Swarm Coordination

This paper presents a framework that integrates input-to-state string stability (ISSS) theory with reinforcement learning to achieve stable, scalable, and adaptive swarm coordination. First, a virtual string perception decomposes $N$-agent interactions into parallel robot-following subtasks by synthesizing local virtua...

Yu-Chen Wei, Wenke E, Yu-Hsiang Su et al. · 0 citations

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