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...